Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 307 papers shown

Title
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards Tim Franzmeyer Mateusz Malinowski João F. Henriques 11 8 0 20 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 103 0 14 Jul 2021
Centralized Model and Exploration Policy for Multi-Agent RL Qizhen Zhang Chris Xiaoxuan Lu Animesh Garg Jakob N. Foerster 27 15 0 14 Jul 2021
Cooperative Autonomous Vehicles that Sympathize with Human Drivers Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 16 44 0 02 Jul 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 24 66 0 01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 34 88 0 29 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z Leibo 32 37 0 16 Jun 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 38 11 0 12 Jun 2021
Metric Policy Representations for Opponent Modeling Haobin Jiang Yifan Yu Zongqing Lu 18 1 0 10 Jun 2021
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator Stephen Marcus McAleer John Lanier Michael Dennis Pierre Baldi Roy Fox 16 4 0 07 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 35 1 0 04 Jun 2021
Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez Chi Jin Praneeth Netrapalli Lillian J. Ratliff AAML 29 11 0 02 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 31 43 0 01 Jun 2021
Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming Nathan J. Mcneese Beau G. Schelble L. Canonico Mustafa Demir 179 48 0 23 May 2021
To be a fast adaptive learner: using game history to defeat opponents Guangzhao Cheng Siliang Tang 11 0 0 17 May 2021
Emergent Prosociality in Multi-Agent Games Through Gifting Woodrow Z. Wang M. Beliaev Erdem Biyik Daniel A. Lazar Ramtin Pedarsani Dorsa Sadigh AI4CE 22 25 0 13 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 27 35 0 07 May 2021
Searching with Opponent-Awareness Timy Phan 17 0 0 21 Apr 2021
Deep Interpretable Models of Theory of Mind Ini Oguntola Dana Hughes Katia P. Sycara HAI 33 23 0 07 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih Arjun Sawhney J. Kondic Stefano Ermon Dorsa Sadigh 44 37 0 07 Apr 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation Emile van Krieken Jakub M. Tomczak A. T. Teije ODL OffRL 31 15 0 01 Apr 2021
Local Patch AutoAugment with Multi-Agent Collaboration Shiqi Lin Tao Yu Ruoyu Feng Xin Li Xin Jin Zhibo Chen 18 15 0 20 Mar 2021
A multi-agent reinforcement learning model of reputation and cooperation in human groups Kevin R. McKee Edward Hughes Tina Zhu Martin Chadwick Raphael Köster Antonio García Castañeda Charlie Beattie T. Graepel M. Botvinick Joel Z Leibo 8 6 0 08 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 41 52 0 08 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning Hadi Nekoei Akilesh Badrinaaraayanan Aaron Courville Sarath Chandar CLL OffRL 27 40 0 04 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 33 1,204 0 02 Mar 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games Yulai Zhao Yuandong Tian Jason D. Lee S. Du OffRL 41 18 0 17 Feb 2021
Complex Momentum for Optimization in Games Jonathan Lorraine David Acuna Paul Vicol David Duvenaud 20 9 0 16 Feb 2021
Cooperation and Reputation Dynamics with Reinforcement Learning Nicolas Anastassacos J. García Stephen Hailes Mirco Musolesi 16 23 0 15 Feb 2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity Michiel A. Bakker Richard Everett Laura Weidinger Iason Gabriel William S. Isaac Joel Z Leibo Edward Hughes 8 5 0 13 Feb 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 32 26 0 31 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 51 311 0 25 Dec 2020
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 42 199 0 15 Dec 2020
Learning in two-player games between transparent opponents A. Hutter 26 4 0 04 Dec 2020
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 25 14 0 14 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 21 131 0 12 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences Bowen Baker LRM 18 33 0 10 Nov 2020
When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions Yi Chen Lei Zhang Tanner Merry Sunny Amatya Wenlong Zhang Yi Ren 19 7 0 03 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 16 55 0 31 Oct 2020
LEAD: Min-Max Optimization from a Physical Perspective Reyhane Askari Hemmat Amartya Mitra Guillaume Lajoie Ioannis Mitliagkas 39 1 0 26 Oct 2020
Negotiating Team Formation Using Deep Reinforcement Learning Yoram Bachrach Richard Everett Edward Hughes Angeliki Lazaridou Joel Z Leibo Marc Lanctot Michael Bradley Johanson Wojciech M. Czarnecki T. Graepel 45 35 0 20 Oct 2020
Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards Keyang He Bikramjit Banerjee Prashant Doshi 19 10 0 15 Oct 2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning Arnu Pretorius Scott A. Cameron Elan Van Biljon Tom Makkink Shahil Mawjee J. D. Plessis Jonathan P. Shock Alexandre Laterre Karim Beguir 16 11 0 15 Oct 2020
D3C: Reducing the Price of Anarchy in Multi-Agent Learning I. Gemp Kevin R. McKee Richard Everett Edgar A. Duénez-Guzmán Yoram Bachrach David Balduzzi Andrea Tacchetti 17 17 0 01 Oct 2020
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation Tanner Fiez Lillian J. Ratliff 22 16 0 30 Sep 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 33 9 0 29 Sep 2020
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation Yue Guan Qifan Zhang Panagiotis Tsiotras 11 7 0 01 Sep 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary Siddharth Ghiya Katia P. Sycara 18 3 0 18 Aug 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information Yuandong Tian Qucheng Gong Tina Jiang 31 19 0 14 Aug 2020