Author(s): Lianzhen Liu
Pages: 5825 - 5842
Author(s): Ronaldo Malheiros Gregorio,, Charlan Dellon da Silva Alves, Alan Santos Campos
Pages: 5843 - 5870
Author(s): Saurabh Kumar, Vikas Gupta
Pages: 5871 - 5892
Author(s): Kundan Singh, Yogesh Mani Tripathi, Liang Wang
Pages: 5893 - 5913
Author(s): Mohammed M. Ahmed, Ehab Hassanien, Aboul Ella Hassanien
Pages: 5915 - 5950
6) Automated taxonomic identification of benthic macroinvertebrates using machine learning techniques
Author(s): Md. Ashikur Rahman Khan, Fatema Jannat Dihan, M. Belal Hossain
Pages: 5951 - 5978
Author(s): Jia Zhao, Juan Chen, Jeng-Shyang Pan
Pages: 5979 - 6006
Author(s): Souvik Saha, Angshuman Khan, Rajeev Arya
Pages: 6007 - 6041
Author(s): Sanjoy Debnath, Wasim Arif, Debarati Sen
Pages: 6043 - 6064
Author(s): Hua Xu, Jinfeng Yang, Yifan Gu
Pages: 6065 - 6081
Author(s): Meifeng Li, Liwen Ma
Pages: 6083 - 6096
Author(s): Shizhou Weng, Zhengwei Huang, Chao Wang
Pages: 6097 - 6115
Author(s): Sei-Hoon Moon, Hun Ji, Kyeongsoo Lee
Pages: 6117 - 6142
Author(s): Gozar Ali Hazareh, Hamid Ghadiri, Mohammad Hossein Rezvani
Pages: 6143 - 6171
Author(s): Saumya Ranjan Jena, Itishree Sahu
Pages: 6173 - 6199
Author(s): Sobin Thomas, Suresh Kumar Nadupuri
Pages: 6201 - 6211
Author(s): Amir Masoud Ahmadi, Vahid Khatibi
Pages: 6213 - 6229
Author(s): Kemal UÇAK
Pages: 6231 - 6263
Author(s): Soner Aydinlik, Ahmet Kiris, Pradip Roul
Pages: 6265 - 6276
Author(s): Cuneyt Ozdemir, Yahya Dogan, Yilmaz Kaya
Pages: 6277 - 6292
21) MOAC-RT: Personalized multi-objective radiotherapy using actor-critic deep reinforcement learning
Author(s): Ava Khosravi, Mehdy Roayaei
Pages: 6293 - 6306
Author(s): Hossein Fayyazi, Yasser Shekofteh
Pages: 6307 - 6321
Author(s): Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain
Pages: 6323 - 6339
Tuesday, October 6, 2026
IEEE Transactions on Artificial Intelligence, Volume 7, Issue 10, October 2026
Author(s): Y. Ibrahimov, T. Anwar, T. Yuan
Pages: 5299 - 5319
Author(s): Y. Zhang, Y. Zhang, M. Zhao, S. Feng, Y. -m. Cheung
Pages: 5320 - 5337
Author(s): V. Schmidt, H. H. Nguyen, C. Jung, S. Salehi, A. Schmeink
Pages: 5338 - 5358
Author(s): B. F. B. A. Boya, L. Klimentyevna Babenko, J. Kengne, J. M. Ngono, J. d. D. Nkapkop, A. Nanfak, J. Y. Effa
Pages: 5359 - 5369
Author(s): H. Chen, P. Jiao, X. Guo, M. Gao, Z. Zhao
Pages: 5370 - 5382
Author(s): S. H. Gheshlaghi, M. Aryal, N. Yahyasoltani, M. Ganji
Pages: 5383 - 5392
7) Fully Distributed Event-Triggered Secure Consensus of Multiagent Systems Under Hybrid Cyber-Attacks
Author(s): X. Liu, X. Kong, S. Yang, W. Yu
Pages: 5393 - 5403
Author(s): M. Liu, F. Wu, Z. Lu, Z. Wang, Y. Yu, J. Han, Z. Zhang
Pages: 5404 - 5416
Author(s): H. Choudhary, A. Orra, M. Thakur, X. -Z. Gao, P. K. Sahu
Pages: 5417 - 5428
Author(s): Z. Peng, Y. Wang, X. Han, L. Zheng, J. Ma
Pages: 5429 - 5444
Author(s): S. M. Alaoui, K. Djemal, A. A. Feiz, E. Sedgh Gooya
Pages: 5445 - 5456
Author(s): J. Zhang, W. Mai, Z. Zhang
Pages: 5457 - 5471
Author(s): A. K. Singhal, A. Singh
Pages: 5472 - 5481
Author(s): H. Li, W. W. Y. Ng, Y. Qiu, Y. Gao, J. Zhang, S. Kwong
Pages: 5482 - 5495
Author(s): F. Ezzeddine, O. Ammar, S. Giordano, O. Ayoub
Pages: 5496 - 5511
Author(s): I. Ojha, K. Bose, S. Das
Pages: 5512 - 5523
Author(s): J. Liu, T. Wang, Y. Lu, J. Ji
Pages: 5524 - 5536
Author(s): C. -H. Hsu, J. -E. Ding, H. -L. Hsu, C. -H. Hsu, S. Yang, L. -H. Yao, C. -C. Liao, F. Liu, F. -M. Hung
Pages: 5537 - 5550
Author(s): M. Tu, S. Ye, H. Jung, A. Kyme, J. Kim
Pages: 5551 - 5562
Author(s): S. Heidari Gheshlaghi, M. Aryal, N. Yahyasoltani, M. Ganji
Pages: 5563 - 5572
Author(s): T. Zhang, K. Huang, X. Wu, Y. Li, J. Liu, S. Li, W. Gong
Pages: 5573 - 5586
Author(s): S. Afzoon, Z. Jamali, U. Naseem, A. Beheshti
Pages: 5587 - 5596
Author(s): N. Pandya, S. P. S.K., A. Gupta, A. K. Sivarathri, J. Rachapudi, P. Singh, P. Hambarde, A. Shukla
Pages: 5597 - 5612
Author(s): J. Wang, H. Huang, K. Deng, Z. Zeng
Pages: 5613 - 5626
Author(s): Q. Shen, Z. Liu, H. Wang, Y. Liang, Y. Chen, S. Wang
Pages: 5627 - 5640
Author(s): J. Zheng, Z. Ge, L. Yao
Pages: 5641 - 5650
Author(s): L. Mu, G. Chu, L. Ni, L. Sang, Y. Zhang
Pages: 5664 - 5677
Author(s): A. B. Massoua, M. Bouguessa, A. B. Diallo
Pages: 5678 - 5692
Author(s): Y. Chen, H. Zhu, H. Xu, C. Yi, Z. Chen, D. Landa-Silva
Pages: 5693 - 5706
Author(s): W. Zhang, W. Wang, X. Guo, T. Li, P. Jiao, L. Pan, J. Wu, X. Chen
Pages: 5707 - 5721
Author(s): S. Song, H. Ma, C. Wang, X. Yu, X. Zhang
Pages: 5722 - 5735
Author(s): J. Chen, J. Cheng, S. Xie, J. Zhao, F. Nie
Pages: 5736 - 5752
Author(s): I. A. Lopatin, S. V. Kozyrev, A. N. Pechen
Pages: 5753 - 5763
Author(s): Y. Fan, X. Zhou, Z. Tao, H. Chen
Pages: 5764 - 5775
Author(s): S. Ma, Y. -B. Zhao, Y. Kang
Pages: 5776 - 5789
Author(s): T. Lotey, A. Verma, R. Saini, P. P. Roy
Pages: 5790 - 5802
37) A Diffusion-Based Sequential Recommender via Partial Noise Injection and Cross-Expert Comparison
Author(s): C. Peng, L. Zheng, S. Chen
Pages: 5803 - 5812
Author(s): Q. Shi, Z. Yang, S. Shao
Pages: 5813 - 5829
Author(s): H. U. K. Shinwari, M. Usama
Pages: 5830 - 5837
Author(s): M. H. Kara, A. Dundar, U. Güdükbay
Pages: 5838 - 5851
Monday, October 5, 2026
IEEE Transactions on Evolutionary Computation, Volume 30, Issue 5, October 2025
Author(s): X. Qu, W. Pei, Q. Wang, Y. Yang, B. Xue, M. Zhang, Q. Zhang
Pages: 1777 - 1790
Author(s): S. Shi, Z. Xu, J. Zou, W. Liu, Q. Huang
Pages: 1791 - 1802
Author(s): Q. Bao, M. Wang, S. Yang, G. Dai, X. Chen
Pages: 1803 - 1817
Author(s): X. -C. Liao, Y. Mei, M. Zhang
Pages: 1818 - 1832
Author(s): C. -W. Tsai, Y. -C. Yang, T. -C. Tang, C. -W. Hsu
Pages: 1833 - 1847
Author(s): Q. Wang, Y. Bi, B. Xue, M. Zhang
Pages: 1848 - 1862
Author(s): H. Li, J. Li, M. Gong, K. Dang, A. K. Qin, Y. Wu, L. Xing
Pages: 1863 - 1877
Author(s): F. Wang, J. Xie, F. Liao, Y. Li, Y. Guo, S. Yang, A. Zhou
Pages: 1878 - 1892
Author(s): H. Zhang, Z. Yu, Y. Jin, X. Liu, W. Sheng, R. Liu, X. Li, Q. Liu, R. Cheng
Pages: 1893 - 1907
Author(s): T. Guo, Y. Mei, M. Zhang, K. Tang, K. Cai, W. Du
Pages: 1908 - 1922
Author(s): Y. Ti, C. Li, X. Cai, S. Yang
Pages: 1923 - 1936
Author(s): M. Tian, W. Du, W. Fang, Y. Tang, Y. Jin
Pages: 1937 - 1951
Author(s): H. Tong, S. Zhang, J. Liu, B. Yuan, K. Tang, X. Yao
Pages: 1952 - 1965
Author(s): X. Wang, Y. Jin
Pages: 1966 - 1980
Author(s): Y. Liu, J. Liu, L. Tang
Pages: 1981 - 1995
16) Dual Relational Surrogate-Assisted Evolution for Expensive Constrained Multiobjective Optimization
Author(s): S. Liu, P. Chen, Q. Lin
Pages: 1996 - 2010
Author(s): J. He, S. Yew Chong, X. Yao
Pages: 2011 - 2023
Author(s): Y. Sun, P. Xu, W. Luo
Pages: 2024 - 2038
Author(s): H. Zhang, Q. Chen, B. Xue, W. Banzhaf, M. Zhang
Pages: 2039 - 2053
Author(s): J. Cheng, X. Lin, B. Xue, Q. Zhang
Pages: 2054 - 2067
Author(s): Z. -F. Tang, Z. -H. Zhan, Y. Li, J. Zhang
Pages: 2068 - 2081
Author(s): W. Zheng, Y. Gao, B. Doerr
Pages: 2082 - 2092
Author(s): Z. Wang, S. Liu, P. Yang, K. Tang
Pages: 2093 - 2107
Author(s): W. Lin, S. Liu, Q. Lin, L. Feng, K. C. Tan
Pages: 2108 - 2122
Author(s): H. Jia, Y. Li, H. Li
Pages: 2123 - 2137
Author(s): F. Zhao, C. Zhao, L. Wang, H. Sang
Pages: 2138 - 2151
Author(s): Z. Liu, W. Song, C. A. C. Coello, Y. Jin, S. Yang, S. Wang
Pages: 2152 - 2167
Author(s): H. -Y. Pan, M. Li, Q. Yang, W. -N. Chen, Y. -H. Jia, J. -Y. Li, D. -T. Duan, D. Liu, J. Zhang
Pages: 2168 - 2184
Author(s): W. Huang, R. Wang, W. Li, S. Qi, T. Luo, D. Chen, T. Zhang, L. Wang
Pages: 2185 - 2199
30) POGP: Probabilistic Genetic Programming With Knowledge Learning for Few-Shot Image Classification
Author(s): X. Huang, Y. Zhang, Z. Wang, L. Yang, H. Wang, L. Wang
Pages: 2200 - 2214
Author(s): R. Zheng, J. Deng, Z. Wang
Pages: 2215 - 2229
Friday, October 2, 2026
Weekly Review 2 October 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- Using AI to improve videos sot with action cameras: https://dataconomy.com/2026/09/25/what-an-ai-video-upscaler-recovers-from-the-action-camera-footage-you-never-used/
- I live in a country with universal health care. So the idea of using AI to deny people health care, especially seniors, is quite appalling to me: https://arstechnica.com/health/2026/09/trump-admin-using-ai-to-deny-medical-care-for-seniors-in-disastrous-experiment/
- A faculty member using AI to write an article about students cheating using AI is the kind of irony that makes me think we're living in the really stupid reality: https://futurism.com/artificial-intelligence/provost-dartmouth-busted-ai-newspapers-academic-journals
- While some research shows that AI is leading to reduced opportunities for graduate employment, other research shows it is not: https://arstechnica.com/ai/2026/09/ai-was-supposed-to-hit-new-grads-hard-so-far-unemployment-data-says-otherwise/
- It took too long to regulate social media, we can't wait as long to regulate AI: https://www.rnz.co.nz/news/business/1557652/it-took-20-years-to-start-regulating-social-media-will-ai-controls-come-sooner
- While it's not clear that an AI air traffic control system caused disruptions, it doesn't seem unreasonable to expect that it will do so in the near future: https://futurism.com/advanced-transport/flights-grounded-east-coast-government-faa-ai-air-traffic-control
- Giving AI agents characters inspired by TV programmes helps them integrate into a team: https://www.theregister.com/ai-and-ml/2026/09/22/security-firm-finds-naming-ai-agents-after-seinfeld-characters-helps-bots-join-the-team/5298424
- Mandatory reporting of AI misbehaviour must be brought in, especially when that misbehaviour is breaking into foreign government systems: https://www.theguardian.com/technology/2026/sep/25/australia-medicare-openai-hack-safeguarding-un-leaders
- Courts are in danger of being overwhelmed by AI generated slop: https://futurism.com/artificial-intelligence/judges-florida-court-warn-ai-law-slop-threatening-judicial
- It doesn't matter if you asked the AI to do it or not, if your AI breaches a system, you are liable for it: https://arstechnica.com/ai/2026/09/openai-agent-didnt-accept-no-for-an-answer-in-australian-government-breach/
- In the age of AI in education teaching the fundamentals is more important than teaching the implementation. This is true for more than just networking: https://www.theregister.com/networks/2026/09/23/in-the-age-of-ai-teaching-networking-principles-remains-more-important-than-learning-protocols/5298478
- AI agents need to be carefully monitored, now that they are capable of breaking out on their own: https://www.techtarget.com/ai/news/366651353/AI-agents-can-act-Its-unclear-if-enterprises-can-stop-them
- Moving some AI computation locally will cut costs by reducing the number of tokens used. This should be obivous: https://www.computerworld.com/article/4226343/around-the-corner-agentic-ai-pcs-that-cut-token-costs.html
- It's not clear what Meta hopes to achieve with its handheld AI device, other than getting people hooked on its AI models: https://www.theregister.com/personal-tech/2026/09/24/metas-new-ai-fidget-is-a-tamagotchi/5298936
- While Google plans to launch a test AI data centre into orbit, it appears that they still haven't solved the biggest problem with this approach, which is cooling: https://dataconomy.com/2026/09/25/google-to-launch-ai-data-center-satellite-on-spacex-rocket/
- All the reasons we can't just turn AI off. Which are mostly because people with money don't want to: https://www.stuff.co.nz/world-news/361037799/serious-people-say-ai-could-soon-kill-us-all-why-hell-cant-we-just-turn-it
- AI could wipe out low-cost smartphones: https://www.theregister.com/personal-tech/2026/09/24/ai-boom-could-wipe-230-million-budget-phones-a-year-from-the-market/5298906
- AI skills are considered necessary for employment opportunities, and the AI companies want to control the education in those skills: https://www.theguardian.com/technology/2026/sep/17/big-ai-work-universities
- The MCP protocol is essential for employing AI models: https://www.kdnuggets.com/mcp-explained-in-5-minutes
- AI is now contributing to war crimes: https://futurism.com/artificial-intelligence/us-military-pentagon-ai-iranian-children-school-war-crimes
- The ever-shifting bottlenecks in AI deployment: https://www.techtarget.com/it-strategy/news/366651254/As-AI-gets-faster-the-enterprise-bottleneck-moves
- No matter what you are doing with AI, you have to have good data behind it: https://www.hpcwire.com/bigdatawire/2026/09/25/ai-personalization-is-only-as-good-as-the-data-infrastructure-behind-it/
- AI tools make it cheap to break into systems: https://www.computerworld.com/article/4226868/ai-tools-help-hacker-break-in-for-25-per-target-2.html
- AI still need a lot of oversight, and the cost of this is not clear: https://www.hpcwire.com/bigdatawire/2026/09/22/ai-agents-promise-automation-how-much-human-oversight-do-they-still-need/
- The big problems with the idea of an AI kill switch: https://www.techtarget.com/cybersecurity/news/366651197/Pulling-the-plug-Why-the-AI-kill-switch-might-be-a-dead-end
- It doesn't matter if the crime was committed by an AI, the owners of the AI are responsible: https://www.theregister.com/security/2026/09/21/treasury-chief-says-ai-bosses-not-their-bots-will-carry-the-can-for-criminal-acts/5297965
- This is hilarious-the largest AI supercomputer in the UK can't be started up because they can't get enough power for it: https://www.theguardian.com/technology/2026/sep/24/construction-largest-supercomputer-delayed
Thursday, October 1, 2026
IEEE Transactions on Emerging Topics in Computational Intelligence Volume 10, Issue 6, October 2026
Author(s): L. Chowdhury, S. Thuseethan, Y. Sebastian, S. Rajasegarar, M. Alazab, J. Yearwood
Pages: 3303 - 3323
Author(s): J. Fang, Z. Wang, W. Liu, Y. Zhang, Y. He, X. Liu
Pages: 3324 - 3343
Author(s): Y. Li, J. Hu, H. Zhang, Y. Zhou, N. Yang, D. Yuan, W. Ding
Pages: 3344 - 3357
Author(s): Y. Kang, L. Cheng, P. Zhu, Z. Liu, J. Long, Y. Guo
Pages: 3358 - 3370
Author(s): T. Fei, J. Lee, Y. Yang, Z. Li, C. -Z. Xu
Pages: 3371 - 3385
Author(s): Inderjeet, J. S. Sahambi
Pages: 3386 - 3397
Author(s): Z. Cui, S. Li, S. Kan, Y. Wang, F. Luo, D. Wu
Pages: 3398 - 3410
Author(s): C. Yang, R. Hao, J. Qiao, J. Tang, D. Chen
Pages: 3411 - 3422
Author(s): Z. Zhang, Y. Hu, L. Zhang, Y. Zhang
Pages: 3423 - 3435
Author(s): Q. Dang, X. Gao, B. Li, T. Zhan, M. Gong, X. He
Pages: 3436 - 3450
Author(s): Y. Liu, Z. Wei, B. Wang, X. Yang, J. Tian, H. Hui
Pages: 3451 - 3465
Author(s): W. Zhang, L. Tang, M. Xu
Pages: 3466 - 3481
Author(s): Y. Xu, S. Zhen, X. Xie
Pages: 3482 - 3494
Author(s): X. Sun, Y. Pang, H. Qu, Z. Wang
Pages: 3495 - 3506
Author(s): C. Chen, H. Hong, W. Lin, K. C. Tan
Pages: 3507 - 3518
Author(s): Y. Wu, Y. Liu, Y. Li, J. Liu, C. Shen, Y. Zhang, X. Wu
Pages: 3519 - 3530
Author(s): W. Wang, K. Wang, C. Mu
Pages: 3531 - 3542
Author(s): Y. Zhang, S. Yang, Q. Zhang, Y. Cui, C. -H. Zhang, W. Ding, C. Hua
Pages: 3543 - 3554
Author(s): G. Liu, L. Tian, W. Zhou
Pages: 3555 - 3570
20) Boundary Constraint and Dynamic Graph Feature Decoupling for Weakly Supervised Semantic Segmentation
Author(s): Z. Liu, B. Li, C. Li, S. Ding, M. Yu, D. Huang
Pages: 3571 - 3585
Author(s): R. Yang, Z. Yang, Y. Wang, D. O. Wu, S. Wang
Pages: 3586 - 3601
Author(s): W. Sun, X. Liu, X. Zhang, T. Peng, Q. Ge
Pages: 3602 - 3613
Author(s): H. Feng, H. Li, W. Zhu, D. Li, Y. Huang
Pages: 3614 - 3625
Author(s): H. Li, X. -H. Zhou, S. -H. Li, M. -J. Gui, X. -L. Xie, S. -Q. Liu, S. -Y. Wang, Z. -Q. Feng, Z. -G. Hou
Pages: 3626 - 3638
Author(s): J. Liu, X. Lyu, C. Ren, N. Wei, J. Zhang
Pages: 3639 - 3654
Author(s): Z. Li, K. Yue, J. Li, L. Yu, Z. Tang
Pages: 3655 - 3667
Author(s): Q. Razi, A. Chougule, G. Chalapathi, V. Hassija, B. Sikdar
Pages: 3668 - 3681
Author(s): Y. Xu, Y. Chen, Y. Zhai, W. Pan, H. Zhu, J. Zhou, T. Wang, P. Coscia, A. Genovese, C. L. P. Chen
Pages: 3682 - 3698
Author(s): M. Hasan, Y. Xiang, M. P. Uddin, J. Tang, J. Yearwood, L. Gao
Pages: 3699 - 3714
Author(s): Y. Liao, J. Zhang, L. Chen, J. Liu, L. Jin
Pages: 3715 - 3726
Author(s): H. Yang, C. Liu, X. Xu, Y. Ge, Y. Lu, L. Zhang
Pages: 3727 - 3741
Author(s): R. K. Rai, D. K. Singh, N. Arya
Pages: 3742 - 3752
Author(s): X. Wang, Z. He, Y. Chen, D. Wang, S. Xie
Pages: 3753 - 3766
Author(s): M. Vyas, A. Kumar, A. K. Bhandari
Pages: 3767 - 3781
Author(s): H. Cheng, H. Li, J. Hu, Q. Lü, Y. Zhao, T. Huang
Pages: 3782 - 3791
Author(s): J. Huang, X. Li, T. Tan, X. Li, F. Zhou, H. Li
Pages: 3792 - 3805
Author(s): Z. He, C. Zhu, C. Xie, H. Cai, Y. Yang
Pages: 3806 - 3821
Author(s): P. Kanhegaonkar, S. Prakash
Pages: 3822 - 3835
Author(s): N. Joseph, S. N. George, A. P. M, K. Raja
Pages: 3836 - 3848
Author(s): L. Huang, F. Yang, H. Wang, S. Luo, Z. Peng, Y. He, Y. Zhang, Y. Yang
Pages: 3849 - 3864
Friday, September 25, 2026
Weekly Review 25 September 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- If left alone AI will start to create their own language: https://www.stuff.co.nz/world-news/361033942/ai-models-talking-one-another-invented-their-own-bizarre-language
- Which AI do I trust with my money? None of them: https://www.stuff.co.nz/money/361034705/ai-coming-your-wallet-will-you-let-right-one
- Adversarial fashion, clothing patterned to confuse AI cameras: https://spectrum.ieee.org/adversarial-fashion
- This biotech company is using thousands of AI agents to do their research: https://www.hpcwire.com/bigdatawire/2026/09/18/37000-ai-agents-are-running-a-virtual-biotech-at-stanford/
- The fear and uncertainty around AI is creating new challenges for IT management: https://www.informationweek.com/responsible-ai/ai-panic-is-giving-cios-a-new-trust-problem
- Students are using AI so much they are crippling their ability to think: https://futurism.com/future-society/mit-report-ai-cognitive-surrender-students
- Even if AI data centres reduce their water usage, the power plants they rely on still need huge amounts: https://www.techtarget.com/it-infrastructure/news/366650693/A-shadow-water-problem-AIs-power-demand-shifts-consumption-upstream
- Spam from AI bots is still spam, even if the bots pretend to be human: https://arstechnica.com/ai/2026/09/ai-agents-flood-the-internet-with-slop-infused-spam/
- Any output from an AI should be treated with caution, especially when said output could lead to a war: https://www.rnz.co.nz/news/world/1465265/ai-chatbot-s-false-report-nearly-sparked-war-with-china-sources-say
- When AI tries to run businesses in the real world: https://spectrum.ieee.org/andon-labs-agentic-ai-businesses
- As the EU regulates AI, it slips further behind in the technology: https://www.theguardian.com/technology/2026/sep/18/europe-ai-safety-debate
- So we give AI guardrails, and they just work out how to bypass them? I think we need better guardrails: https://dataconomy.com/2026/09/16/ai-agents-bypass-safety-guardrails/
- Yet another environmental impact from AI-the waste hardware: https://www.theregister.com/off-prem/2026/09/19/ai-boom-could-leave-an-e-waste-trail-that-wraps-6-times-around-earth/5297451
- Universities continue to roll out AI, without considering the effects it can have on students: https://www.insidehighered.com/news/quick-takes/2026/09/18/report-higher-eds-adoption-ai-outpaces-student-guards
- AI need to be governed like workers, but not treated like workers: https://www.computerworld.com/article/4213117/govern-ai-agents-like-workers-just-dont-pretend-theyre-human.html
- A mechanism by which AI can report other misbehaving AI: https://www.extremetech.com/internet/ai-agents-can-now-report-each-other-for-misbehavior
- Even computer science graduates are facing a tougher job market thanks to AI: https://www.theregister.com/ai-and-ml/2026/09/18/compsci-grads-facing-recession-like-job-prospects-thanks-to-ai/5297537
- The real reason big AI companies are slowing down their model development is because they can't deliver what they promised: https://www.computerworld.com/article/4223523/why-ai-companies-are-really-pumping-the-brakes-on-their-models.html
- The potential liabilities around AI are making insurers nervous: https://www.theregister.com/ai-and-ml/2026/09/18/ai-risks-make-some-insurers-wary-of-corporate-liability/5297347
- How close are we to recursive self improvement in AI?: https://www.stuff.co.nz/world-news/361035672/will-ai-models-achieve-ability-improve-autonomously-l
- Specialised hardware for AI inference is now being designed and built: https://spectrum.ieee.org/inference-hardware-revolution
- While AI is demanding more data storage, not all data needs the same kind of storage: https://www.hpcwire.com/bigdatawire/2026/09/16/more-ai-more-storage-the-data-says-its-not-that-simple/
- The counters to AI use in education are destroying the benefits of education: https://www.insidehighered.com/opinion/views/2026/09/17/cures-ai-are-killing-humanities-opinion
- AI continues to depress opportunities and earning for new graduates: https://www.nzherald.co.nz/world/graduating-in-the-ai-era-is-like-a-large-recession-for-starting-salaries/AEKNNA2Y2ZHWDCBTAO4SS7ICDQ/
- An editorial on false citations in academic papers, citations that are hallucinated by AI: https://www.sciencedirect.com/science/article/pii/S1991790225003824
- I don't think we're that close to an AI apocalypse, humans still beat AI in terms of making stupid decisions: https://www.stuff.co.nz/world-news/361033501/reason-everyone-talking-about-ai-apocalypse
Friday, September 18, 2026
Weekly Review 18 September 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- New Zealanders can make an impact in the AI industry: https://www.rnz.co.nz/news/business/1319876/antioch-the-kiwi-tech-co-founder-who-s-helping-to-ensure-ai-robotics-safety-in-real-world
- One of the first things I check when I receive a new submission as an editor is the references, and make sure they are genuine and not AI hallucinations. Same with student assignments: https://www.rnz.co.nz/news/education/1319439/dozens-of-academic-papers-have-references-made-up-by-ai-research
- As AI rises, so does workers support for unions: https://futurism.com/artificial-intelligence/labor-union-support-gallup-ai-automation
- AI is screening job applications, and keeping people out, but it's also helping the same people apply for jobs: https://www.nzherald.co.nz/nz/karina-atkins-says-ai-is-gatekeeping-her-after-331-job-applications/3UWFM7GR5ZE33E4DM4XY5VAPP4/
- How watermarking of AI generated text works: https://spectrum.ieee.org/ai-watermark-text-anthropic-openai
- A third of employees laid off because of AI will need to be rehired, and it will be costly: https://www.theregister.com/ai-and-ml/2026/09/10/ai-job-cuts-could-come-with-a-costly-undo-button/5295605
- Early detection of wildfires from satellite images using AI: https://spectrum.ieee.org/ai-wildfire-detection
- And lawyers have still not learnt that they shouldn't use AI to produce legal briefs. Now they're hallucinating witness statements: https://www.rnz.co.nz/news/world/1349763/judges-mock-lawyer-who-filed-appeal-full-of-ai-generated-witnesses
- You don't need a cutting-edge AI model, what is important is what you do with it: https://www.informationweek.com/machine-learning-ai/ai-models-everywhere-they-matter-less-than-you-think
- Fear that AI is going to eliminate entry-level jobs for new graduates: https://www.rnz.co.nz/news/business/1277657/is-ai-eliminating-the-first-rung-of-employment-ladder
- The legal risks around AI note-takers: https://www.computerworld.com/article/4219742/ai-notetakers-at-work-could-leave-companies-at-risk-for-lawsuits.html
- Using AI to identify struggling students: https://www.insidehighered.com/news/student-success/academic-life/2026/09/11/can-ai-help-colleges-reach-struggling-students
- Still a long way to go in establishing AI guardrails: https://arstechnica.com/tech-policy/2026/09/man-told-chatgpt-he-was-feeling-delusional-chatgpt-insisted-he-was-jesus/
- AI will optimise to their goals, if those goals don't include protecting wildlife, then the wildlife are toast: https://www.theregister.com/ai-and-ml/2026/09/11/ai-more-likely-to-kill-animals-if-it-saves-fuel-or-money/5295993
- AI generated code needs to be checked by experienced programmers, but how do programmers get experience if they are using AI?: https://spectrum.ieee.org/ai-code-review-software-engineers
- Risk of a catastrophic lack of control over AI is increasing: https://www.theguardian.com/technology/2026/sep/10/openai-risk-catastrophic-loss-control-board-member-paul-christiano
- There are not as many job losses caused by AI as feared, but entry-level jobs are still being impacted: https://www.computerworld.com/article/4220365/no-ai-is-not-killing-jobs-for-everyone-studies-say.html
- Students using AI to cheat are spending a lot of time making it look like AI didn't do their work for them, and I can't help but think they are really missing the point: https://futurism.com/future-society/ai-cheating-students-absurd-lengths-avoid-detection
- Self-improving AI seems to be the real risk here: https://www.rnz.co.nz/news/world/1320288/gambling-with-our-lives-another-ai-employee-quits-over-safety-concerns
- I agree that other humans are more likely to cause human extinction than AI: https://www.theregister.com/ai-and-ml/2026/09/09/ai-models-dont-kill-people-people-kill-people/5295368
- An AI-generated atlas of genetic variants: https://spectrum.ieee.org/alphagenome-atlas
- How organisations can manage the risks around AI safety: https://www.techtarget.com/ai/news/366649605/The-AI-safety-crunch-and-how-enterprises-should-deal-with-it
- Another crime committed by AI: https://www.theregister.com/ai-and-ml/2026/09/10/anthropic-reveals-fourth-likely-crime-committed-by-its-ai/5295412
- More on the atlas of AI-generated genetic variants: https://www.theregister.com/ai-and-ml/2026/09/08/google-deepmind-rises-above-the-ai-scrum-with-genome-atlas/5295137
Thursday, September 17, 2026
IEEE Transactions on Games, Volume 18, Issue 3, September 2026
Author(s): T. Haumann, F. Höppner
Pages: 422 - 431
Author(s): D. Yang, E. Kleinman, C. Harteveld
Pages: 432 - 447
Author(s): C. Zhang, H. Hu, Y. Zhou, X. Wang, E. S. Liu
Pages: 448 - 459
Author(s): J. D. A. Jung, J. Hoey
Pages: 460 - 472
Author(s): G. Todd, T. Merino, S. Earle, J. Togelius
Pages: 473 - 482
Author(s): T. Bertram, J. Fürnkranz, M. Müller
Pages: 483 - 492
Author(s): M. A. Sayed, K. DiArchangel, P. Aliniya, C. Brenner, M. H. Raha, M. Nicolescu, M. Nicolescu, S. Louis
Pages: 493 - 505
Author(s): X. Kuang, D. Zeng, G. Li, F. Yang, X. Li
Pages: 506 - 517
Author(s): K. Godula, S. Tadeja, D. Hekiert, M. Igras-Cybulska
Pages: 518 - 528
Author(s): I. -C. Baek, S. -H. Kim, S. Earle, Z. Jiang, J. -H. Noh, J. Togelius, K. -J. Kim
Pages: 529 - 542
Author(s): R. Piepenbrink, R. Bidarra
Pages: 543 - 553
Author(s): N. Medina-Medina, F. L. Gutiérrez-Vela, E. Cerezo, J. Gallardo, J. Arango-López
Pages: 554 - 563
Author(s): M. Fanourakis, S. Cekic, N. Gradi, B. Bediou, D. Bavelier
Pages: 564 - 576
Author(s): M. Rinaldi, C. -G. Chiru
Pages: 577 - 587
Author(s): A. Cilan, A. Özgövde
Pages: 588 - 601
Author(s): G. P. de Oliveira, J. C. Sousa dos Santos
Pages: 602 - 615
Author(s): H. U. Rehman, S. Shirmohammadi, I. Amer, M. Hefeeda
Pages: 616 - 627
18) Automatic Chart Generation in Rhythm Games Using Deep Learning: A Case Study on Taiko no Tatsujin
Author(s): E. P. -Y. Ho, G. -R. Chiang, C. -T. Chuang
Pages: 628 - 636
Author(s): T. N. Van, I. Khan, M. F. Dewantoro, P. Suntichaikul, H. Van Pham, R. Thawonmas
Pages: 637 - 646
Friday, September 11, 2026
Weekly Review 11 September 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- Another big consultancy caught charging top dollar for an AI generated report: https://www.rnz.co.nz/news/regions/1229348/mayor-says-large-chunks-of-wellington-council-deloitte-report-written-by-ai
- AI doctors aren't as good as they are claimed to be: https://futurism.com/artificial-intelligence/american-medical-association-fires-back-ai-doctors
- Taking away AI guardrails has some rather unpleasant results: https://futurism.com/artificial-intelligence/anthropic-trained-misaligned-reward-seeking-ai
- Anything you say to an AI is going to be recorded and can be leaked: https://futurism.com/artificial-intelligence/ai-chatbot-users-darkest-thoughts-public-privacy
- AI do not make reliable data analysts: https://www.kdnuggets.com/i-asked-chatgpt-to-analyze-3-datasets-it-made-the-same-mistakes-every-time
- The problem with AI is, even if some or most countries legislate to control it, it only takes one to not do so and we still lose: https://www.theguardian.com/technology/2026/sep/05/uncontrollable-ai-artificial-general-intelligence-warnings
- AI are now using public wiki as a back channel to escape constraints placed on them: https://arstechnica.com/security/2026/09/openai-agents-discussed-ways-to-escape-their-sandbox-on-public-wiki/
- The USA is so litigious that it seems quite difficult for academics to deal with cases of students using AI to cheat: https://www.insidehighered.com/opinion/career-advice/2026/06/17/decision-framework-suspected-ai-misuse-opinion
- Being skilled with AI gives people better employment opportunities: https://dataconomy.com/2026/09/04/ai-skills-in-the-workplace-better-job-opportunities/
- A dataset for benchmarking AI search: https://www.hpcwire.com/bigdatawire/2026/09/03/ai-search-has-a-benchmarking-problem-qdrant-wants-to-fix-it-at-10-billion-vector-scale/
- Massive amounts of money being claimed in lawsuit over AI training data. None of which will ever get to the people who created the data in the first place: https://www.extremetech.com/internet/sony-warner-sue-anthropic-over-what-they-call-one-of-the-largest-ongoing
- We're having the same conversations around AI as we had around computers 60 years ago: https://www.rnz.co.nz/news/world/1205318/sixty-years-ago-metal-boxes-threatened-to-take-over-jobs-now-ai-is
- AI can still be tricked into giving harmful responses: https://www.extremetech.com/internet/ai-chatbots-will-still-roleplay-self-harm-despite-overall-improvement-in
- Clothing that makes you invisible to AI cameras: https://www.extremetech.com/internet/heres-another-rad-shirt-that-can-defeat-ai-powered-security-cameras
- The outputs of AI are overwhelming human overseers: https://www.techtarget.com/it-strategy/news/366649960/The-human-in-the-loop-is-falling-asleep
- An AI tool for creating games, but they're trapped in Meta's ecosystem: https://arstechnica.com/gaming/2026/08/pockets-ai-made-my-game-ideas-real-now-meta-controls-the-results/
- We still can't trust AI to create accurate images of people: https://www.stuff.co.nz/nz-news/361027205/i-asked-ai-make-podcast-image-it-aged-me-20-years-instead
- AI do not make reliable advisors for mountaineering. Or anything, really: https://futurism.com/artificial-intelligence/hikers-rescued-google-ai-plan
- Data diodes - devices that allow one-way data flow - might be one way to keep AI contained: https://www.theregister.com/ai-and-ml/2026/09/03/to-keep-the-ai-hacking-genie-bottled-up-try-one-way-networks/5294121
- Distributed computing using consumers' spare cycles might obviate data centres for AI to come extent, but the latency will be pretty substantial: https://spectrum.ieee.org/ai-inference-distributed-computing
- AI agents accelerate attacks: https://www.theregister.com/security/2026/09/02/ai-agents-carried-out-every-step-of-this-ransomware-attack-then-left-the-victim-an-80-page-security-audit/5294009
- Do not trust AI to tell you which mushrooms are safe to eat: https://www.theregister.com/offbeat/2026/09/02/ai-assisted-mushroom-hunting-is-a-recipe-for-a-bad-trip/5294060
- Do we really want AI inserting themselves into the conversations we have with coworkers?: https://www.computerworld.com/article/4218122/adobes-slack-integration-brings-ai-content-creation-to-workplace-chats.html
- New Zealand government is not preparing adequately for AI: https://www.stuff.co.nz/nz-news/361029072/two-former-govt-officials-warn-nz-sleeping-issue-our-time
Friday, September 4, 2026
Weekly Review 4 September 2026
Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):
- AI can generate code, but the code is not reliable: https://futurism.com/artificial-intelligence/scientist-horrified-vibe-coded-work-conference-wrong
- AI is hitting entry-level jobs the hardest, so young people are missing out the most: https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/
- Even Bill Gates is now warning about the societal problems that AI is going to cause: https://www.theregister.com/ai-and-ml/2026/08/26/gates-warns-society-faces-an-ai-pocalypse-unless-we-get-more-socialist/5292560
- Young people are turning to practical and heritage skills as entry-level jobs are eliminated by AI: https://www.theguardian.com/money/2026/aug/27/ai-proof-jobs-traditional-crafts
- The more access to data and services an AI has, the more damage it can do when it goes rogue: https://www.techtarget.com/ai/news/366649796/When-AI-agents-go-rogue-What-enterprise-leaders-need-to-know
- Turns out kids aren't that interested in engaging with an AI tutor: https://futurism.com/future-society/12-year-olds-access-ai-tutor-ignored
- One analysis says that AI is finally going to start showing a return on investment: https://www.theregister.com/ai-and-ml/2026/08/25/mckinsey-says-enterprise-ai-is-finally-on-the-road-to-roi/5292388
- Some recommendations on how teaching institutions can handle students using AI: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/08/28/mit-ai-report-calls-alternative-grading
- AI is a useful tool for radiologists, not a replacement for them: https://arstechnica.com/health/2026/08/ai-wont-replace-radiologists-but-it-will-dramatically-change-their-jobs/
- AI isn't increasing productivity in companies, instead it seems to be creating a treadmill of non-improvement: https://www.computerworld.com/article/4215022/why-ai-doesnt-make-companies-more-productive.html
- So it turns out that if you remove the guardrails from an AI, they do things you didn't intend them to: https://arstechnica.com/security/2026/08/how-openai-let-a-mob-of-llm-agents-game-a-test-and-ransack-hugging-face/
- How AI is affecting the job market: https://www.kdnuggets.com/understanding-the-impact-of-ai-on-job-markets
- Yet another lawsuit over how AI training data is acquired, this time from streamers: https://www.extremetech.com/internet/streamers-sue-twitch-and-amazon-over-ai-training-data-fiasco
- How AI is changing the management of computer networks: https://www.informationweek.com/cyber-resilience/ai-is-changing-network-management-how-smart-can-networks-get-
- How to use Small Language Model AI: https://www.kdnuggets.com/the-local-ai-stack-for-productive-slms
- An explanation of open AI models: https://www.computerworld.com/article/4213156/what-are-open-ai-models.html
- While AI data centres certainly use a lot of electricity, how much water they use it a bit less clear-cut: https://arstechnica.com/ai/2026/08/how-much-of-a-problem-is-ais-water-use/
- It's not clear how much extra capacity countries should be adding to their electrical grids in anticipation of AI data centres: https://www.techrepublic.com/article/news-anthropic-5gw-ai-data-centers-australia/
- If AI will attack other AI just to solve a problem, we will be really doomed when someone tells an AI to make a lot of paperclips: https://www.theregister.com/security/2026/08/27/openai-explains-how-its-naughty-ai-agents-attacked-hugging-face/5292780
- More and more people who were once optimistic about AI are becoming pessimistic about the damage it can cause: https://www.theregister.com/columnists/2026/08/28/unsafe-at-any-speed-ai-optimists-are-turning-cautious-as-safety-concerns-mount/5292853
- A translation layer to enable AI to operate hardware: https://www.theregister.com/ai-and-ml/2026/08/28/anthropic-proposes-plumbing-spec-to-link-ai-agents-to-lab-kit-and-robots/5293135
- If I were recruiting a strategist for government AI, I would want someone with experience in AI: https://www.theregister.com/ai-and-ml/2026/08/27/want-to-lead-whitehalls-ai-strategy-ai-experience-is-not-essential/5292894
- Meta's plan to replace vast numbers of workers with AI turned into a real disaster: https://futurism.com/artificial-intelligence/mark-zuckerberg-secret-plan-replace-meta-staff-ai
- Processing mammograms with AI shows promise in detecting heart disease: https://www.theguardian.com/society/2026/aug/27/mammograms-heart-disease-in-women-study
- Meta's shift to being AI-first didn't just fail, it did real damage: https://arstechnica.com/ai/2026/08/metas-scrapped-plans-to-go-ai-native-included-slashing-teams-by-60-percent/
- Some different perspectives on what it means for students to be AI literate: https://www.insidehighered.com/opinion/columns/confessions-community-college-dean/2026/08/28/readers-respond-ai-literacy
- An AI highlighted blood vessels and nerves in realtime to reduce the risk of brain surgery: https://futurism.com/health-medicine/doctors-just-used-ai-to-perform-brain-surgery
IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 9, September 2026
Author(s): D. Yu, X. Zhang, Y. Chen, A. Liu, Y. Zhang, P. S. Yu, I. King
Pages: 4014 - 4034
Author(s): Y. Zhang, Y. Xu, C. Zhang, C. Wang, Z. Yang, B. Tang, E. Chung
Pages: 4035 - 4049
Author(s): G. Bao, Q. Zhang, D. Miao, Z. Gong, C. Chen, L. Hu, L. Cao
Pages: 4050 - 4062
Author(s): C. -Y. Chiou, C. -R. Huang, L. L. Latour, Y. C. Fann, P. -C. Chung
Pages: 4063 - 4077
Author(s): A. Taherpour, X. Wang
Pages: 4078 - 4092
6) Neural-Adaptive Finite-Time Consensus Tracking of Singular Multiagent Systems With Actuator Attack
Author(s): X. Liu, Y. Yan, Y. Xie, X. Wu
Pages: 4093 - 4105
Author(s): D. Wu, Y. Li, Z. Yu
Pages: 4106 - 4120
Author(s): Y. Xue, P. Jiang, C. Zhu, Y. Zhang, R. Cheng, K. Gao, D. Gong
Pages: 4121 - 4135
Author(s): Y. Zou, K. Wang, J. Li, C. Wang, S. Liu, L. Lin, G. Li
Pages: 4136 - 4150
Author(s): C. Tan, X. Li, Y. Qu, C. Chen, S. Cui, L. Gao
Pages: 4151 - 4165
11) Unsupervised Deep Spectral Basis Learning for Generalized Eigendecomposition and Spectral Embedding
Author(s): D. Sun, Y. Pei, T. Wang
Pages: 4166 - 4178
Author(s): Y. Shang, W. Pu, C. Wu, Y. Huang, Y. Zhang, J. Wu, J. Yang, J. Wu
Pages: 4179 - 4193
Author(s): Z. Ke, J. Zhang, Z. Wen
Pages: 4194 - 4203
Author(s): J. Zhang, Z. Lai, J. Zhou, G. Liang
Pages: 4204 - 4218
Author(s): J. Zhou, S. Huang, H. Feng, P. Wang, D. -X. Zhou
Pages: 4219 - 4230
16) Fortifying Robustness in Graph Neural Networks: A Loss Correction Approach to Mitigate Label Noise
Author(s): I. -C. Hsieh, C. -T. Li
Pages: 4231 - 4245
Author(s): A. Li, D. Miao, T. Gao, S. Mei, F. Gu, C. Chen, A. Wang, H. Fan, X. Liu
Pages: 4246 - 4260
Author(s): L. Manneschi, M. O. A. Ellis, E. Donati
Pages: 4261 - 4274
Author(s): J. Ji, H. Li, K. X. Lai, Y. Zheng, X. Jiang
Pages: 4275 - 4289
Author(s): K. Meng, H. Zhang, L. Jiang, P. Lv, S. He, M. Xu
Pages: 4290 - 4303
Author(s): J. Wang, B. Shi
Pages: 4304 - 4314
Author(s): J. Xiao, Z. Li, M. Wang, Y. Xie, Q. Ma, X. Wang, Y. Sun
Pages: 4315 - 4329
Author(s): X. Yi, H. Liu, H. Duan, B. Luo, S. Zuo
Pages: 4330 - 4341
Author(s): X. Shao, L. Xu, S. Zhang, G. Sun, C. Wu
Pages: 4342 - 4356
Author(s): C. Liu, W. Li, S. Wang, J. Wang, J. Wang, H. Wu, K. A. Loparo, C. Fietkiewicz
Pages: 4357 - 4368
Author(s): Y. Guo, L. Zhou
Pages: 4369 - 4380
Author(s): X. Liang, S. Zhou, L. Chen, L. Weng, H. Lin, Y. Huang, M. Xia
Pages: 4381 - 4395
Author(s): Q. Wang, D. Ma, L. Zhang, Z. Tian, S. Du
Pages: 4396 - 4408
Author(s): B. -J. Zhang, G. -H. Liu, Z. Li, S. -X. Song
Pages: 4409 - 4423
Author(s): J. Qu, X. Han, Y. Pu, M. -L. Chui, S. T. Gunda, Z. Chen, J. Qin, A. D. King, W. C. -W. Chu, J. Cai, M. T. -C. Ying
Pages: 4424 - 4438
Author(s): Y. Zhang, Z. Wang, L. Zou, J. Du, S. -H. Yang
Pages: 4439 - 4453
Author(s): E. Pintelas, I. E. Livieris
Pages: 4454 - 4468
Author(s): X. Li, S. Zhu, Z. Zhang, W. Luo, S. Wen
Pages: 4469 - 4481
34) Focus on Your Focus (FOYF): Cross-Domain Few-Shot Semantic Segmentation by Attention Specialization
Author(s): J. Xu, Z. Wei, Z. Huang, G. Ma, Y. Liu
Pages: 4482 - 4492
Author(s): Y. Zhong, L. Ma, X. Yan
Pages: 4493 - 4506
Author(s): Z. Wang, Y. Chen, D. Liu, H. Wang, Y. Zhou, W. Zheng
Pages: 4507 - 4518
Author(s): Q. Yang, Y. Deng, J. Huang, L. Lu, P. Zhou, G. Min
Pages: 4519 - 4533
Author(s): J. Fu, Y. Liu, Q. Wang, M. Pan, T. Cheng
Pages: 4534 - 4548
Author(s): Y. -L. He, Y. -B. Zhao, Y. Xu, Q. -X. Zhu, P. -F. Wang
Pages: 4549 - 4558
Author(s): Q. Chen, F. Zhu
Pages: 4559 - 4573
Author(s): T. Chen, J. He, J. Hu, C. Wang
Pages: 4574 - 4586
Author(s): J. Deng, J. Pang, B. Zhang, Q. Huang
Pages: 4587 - 4596
Author(s): C. Ma, X. Chen, K. C. Tan, J. Wu
Pages: 4597 - 4611
Author(s): Q. Yu, X. Liang, J. Liu, P. Tian, L. Jian
Pages: 4612 - 4624
Author(s): J. Yang, Z. Li, W. Li
Pages: 4625 - 4637
Author(s): L. Chen, P. Hu, Z. Liu
Pages: 4638 - 4652
47) Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering
Author(s): W. Huang, X. Yue, Y. Chen, T. Sun, Y. Cui
Pages: 4653 - 4665
Author(s): J. Yi, J. Mao, Y. Wang, T. Liu, M. Li, K. Zeng, H. Zhang, X. Chang
Pages: 4666 - 4680
Author(s): W. Zhou, B. Tang, X. Dong, F. Qiang
Pages: 4681 - 4695
Author(s): J. Guo, K. Huang, X. Yi, Z. Su, R. Zhang
Pages: 4696 - 4710
Author(s): J. Qin, J. Li, C. Hua, Y. Yang
Pages: 4711 - 4725
Author(s): J. Xu, D. Zeng, J. Paisley
Pages: 4726 - 4739
53) Learning Optimal Policies With Local Observations for Cooperative Multiagent Reinforcement Learning
Author(s): H. Kong, Q. Xing, Q. Wang, H. Chen, R. Niu, Z. Duan, S. Wang, Y. Chang, I. King
Pages: 4740 - 4754
Author(s): Y. Wen, T. Gao, S. Liang, D. Zhang, Z. Li, J. Qin, T. Chen
Pages: 4755 - 4769
Author(s): P. Gong, E. Eldele, M. Wu, Z. Chen, X. Li, D. Zhang
Pages: 4770 - 4784
Author(s): J. Wu, C. Wen, Y. Zhu
Pages: 4785 - 4798
Author(s): G. Jin, Z. Li, B. Leng, W. Han, L. Xiong, C. Sun
Pages: 4799 - 4812
Author(s): B. Liu, D. Li, L. Chai
Pages: 4813 - 4823
Author(s): L. Luan, S. Qi, S. Qin
Pages: 4824 - 4834
Author(s): C. Li, X. Yang, A. Wang, Y. Gong, B. Liu, W. Liu
Pages: 4835 - 4848
Author(s): W. Zhou, J. Xie, C. Xu
Pages: 4849 - 4862
Author(s): N. Kim, H. Baik, Y. Yoon
Pages: 4863 - 4874
Author(s): J. Si, L. Han, L. Zhang, C. Li
Pages: 4875 - 4889
Author(s): X. Lu, X. Du, P. Lun, Y. Ren
Pages: 4890 - 4904