Proximal Learning With Opponent-Learning Awareness

18 October 2022

Papers citing "Proximal Learning With Opponent-Learning Awareness"

24 / 24 papers shown

Title
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 122 40 0 03 Jan 2025
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 85 2 0 14 Jul 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 51 2 0 20 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 83 0 0 03 Jun 2024
Model-Free Opponent Shaping Chris Xiaoxuan Lu Timon Willi Christian Schroeder de Witt Jakob N. Foerster 53 43 0 03 May 2022
COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi Alistair Letcher Johannes Treutlein Jakob N. Foerster 33 52 0 08 Mar 2022
Mirror Learning: A Unifying Framework of Policy Optimisation J. Kuba Christian Schroeder de Witt Jakob N. Foerster 50 26 0 07 Jan 2022
Status-quo policy gradient in Multi-Agent Reinforcement Learning Pinkesh Badjatiya Mausoom Sarkar Nikaash Puri Jayakumar Subramanian Abhishek Sinha Siddharth Singh Balaji Krishnamurthy 33 2 0 23 Nov 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 58 11 0 12 Jun 2021
Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez Chi Jin Praneeth Netrapalli Lillian J. Ratliff AAML 33 11 0 02 Jun 2021
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 46 84 0 06 Feb 2020
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning Gregory Farquhar Shimon Whiteson Jakob N. Foerster 56 17 0 23 Sep 2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach Aryan Mokhtari Asuman Ozdaglar S. Pattathil 88 328 0 24 Jan 2019
Stable Opponent Shaping in Differentiable Games Alistair Letcher Jakob N. Foerster David Balduzzi Tim Rocktaschel Shimon Whiteson 67 110 0 20 Nov 2018
Evolving intrinsic motivations for altruistic behavior Jane X. Wang Edward Hughes Chrisantha Fernando Wojciech M. Czarnecki Edgar A. Duénez-Guzmán Joel Z Leibo 62 78 0 14 Nov 2018
Inequity aversion improves cooperation in intertemporal social dilemmas Edward Hughes Joel Z Leibo Matthew Phillips K. Tuyls Edgar A. Duénez-Guzmán ... Tina Zhu Kevin R. McKee Raphael Köster H. Roff T. Graepel 56 208 0 23 Mar 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 46 97 0 14 Feb 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 63 354 0 10 Oct 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 91 539 0 13 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 453 19,006 0 20 Jul 2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning Adam Lerer A. Peysakhovich 71 159 0 04 Jul 2017
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 84 3,406 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,764 0 19 Feb 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 235 6,775 0 03 Sep 2014