受强制性开放获取政策约束的文章 - Christian Schroeder de Witt了解详情
可在其他位置公开访问的文章：13 篇
Monotonic value function factorisation for deep multi-agent reinforcement learning
T Rashid, M Samvelyan, C Schroeder de Witt, G Farquhar, JN Foerster, ...
Journal of Machine Learning Research 21, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission …
FACMAC: Factored Multi-Agent Centralised Policy Gradients
B Peng, T Rashid, C Schroeder de Witt, PA Kamienny, P Torr, W Böhmer, ...
Advances in Neural Information Processing Systems 34, 2021
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission
Multi-Agent Common Knowledge Reinforcement Learning
C Schroeder de Witt, J Foerster, G Farquhar, P Torr, W Boehmer, ...
Advances in Neural Information Processing Systems, 9927-9939, 2019
强制性开放获取政策： US National Institutes of Health, UK Engineering and Physical Sciences …
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
C Schroeder de Witt, B Peng, PA Kamienny, P Torr, W Böhmer, ...
arXiv preprint arXiv:2003.06709, 2020
强制性开放获取政策： US National Institutes of Health, UK Engineering and Physical Sciences …
Randomized entity-wise factorization for multi-agent reinforcement learning
S Iqbal, CAS De Witt, B Peng, W Böhmer, S Whiteson, F Sha
International Conference on Machine Learning, 4596-4606, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense, European Commission
Discovered policy optimisation
C Lu, J Kuba, A Letcher, L Metz, C Schroeder de Witt, J Foerster
Advances in Neural Information Processing Systems 35, 16455-16468, 2022
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Model-free opponent shaping
C Lu, T Willi, CAS De Witt, J Foerster
International Conference on Machine Learning, 14398-14411, 2022
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Safe Screening for Support Vector Machines
J Zimmert, C Schroeder de Witt, G Kerg, M Kloft
"Optimization in Machine Learning (OPT)" Workshop @ NIPS 2015, 2015
强制性开放获取政策： German Research Foundation
Hijacking Malaria Simulators with Probabilistic Programming
B Gram-Hansen, C Schröder de Witt, T Rainforth, PHS Torr, YW Teh, ...
"AI for Social Good Workshop" @ ICML 2019, 2019
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission …
Risks and opportunities of open-source generative AI
F Eiras, A Petrov, B Vidgen, C Schroeder, F Pizzati, K Elkins, ...
arXiv preprint arXiv:2405.08597, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Communicating via markov decision processes
S Sokota, CAS De Witt, M Igl, LM Zintgraf, P Torr, M Strohmeier, Z Kolter, ...
International Conference on Machine Learning, 20314-20328, 2022
强制性开放获取政策： European Commission
Secret Collusion Among Generative AI Agents
SR Motwani, M Baranchuk, M Strohmeier, V Bolina, PHS Torr, ...
arXiv preprint arXiv:2402.07510 (accepted at NeurIPS'24), 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
SR Motwani, M Baranchuk, M Strohmeier, V Bolina, P Torr, L Hammond, ...
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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