Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 307 papers shown

Title
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 34 21 0 18 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 23 16 0 09 Oct 2022
Towards Robots that Influence Humans over Long-Term Interaction Shahabedin Sagheb Ye-Ji Mun Neema Ahmadian Benjamin A. Christie Andrea V. Bajcsy Katherine Driggs-Campbell Dylan P. Losey 13 8 0 21 Sep 2022
Intrinsic fluctuations of reinforcement learning promote cooperation W. Barfuss Janusz M. Meylahn 24 17 0 01 Sep 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 32 76 0 19 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 46 2 0 12 Jul 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 30 7 0 05 Jul 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau Jinke He Mustafa Mert cCelikok M. Spaan F. Oliehoek 19 1 0 01 Jul 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
Competitive Gradient Optimization Abhijeet Vyas Kamyar Azizzadenesheli 12 1 0 27 May 2022
Model-Free Opponent Shaping Chris Xiaoxuan Lu Timon Willi Christian Schroeder de Witt Jakob N. Foerster 21 43 0 03 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 33 26 0 03 May 2022
Learning Mixed Strategies in Trajectory Games Lasse Peters David Fridovich-Keil L. Ferranti C. Stachniss Javier Alonso-Mora F. Laine OffRL 31 6 0 30 Apr 2022
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning Youpeng Zhao Jian Zhao Xu Hu Wen-gang Zhou Houqiang Li 20 15 0 06 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri Petros Koumoutsakos CLL OffRL 18 7 0 24 Mar 2022
RILI: Robustly Influencing Latent Intent Sagar Parekh Soheil Habibian Dylan P. Losey 34 13 0 23 Mar 2022
Safe adaptation in multiagent competition Macheng Shen Jonathan P. How TTA 14 1 0 14 Mar 2022
COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi Alistair Letcher Johannes Treutlein Jakob N. Foerster 19 51 0 08 Mar 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Michael Everett Chuangchuang Sun Gerald Tesauro Jonathan P. How 24 0 0 07 Mar 2022
The Good Shepherd: An Oracle Agent for Mechanism Design Jan Balaguer R. Koster Christopher Summerfield Andrea Tacchetti 17 17 0 21 Feb 2022
Cooperative Artificial Intelligence T. Baumann 17 0 0 20 Feb 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 85 37 0 19 Feb 2022
Motivating Physical Activity via Competitive Human-Robot Interaction Boling Yang Golnaz Habibi Patrick E. Lancaster Byron Boots Joshua R. Smith 17 8 0 14 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 35 26 0 31 Jan 2022
Learning Collective Action under Risk Diversity Ramona Merhej Fernando P. Santos Francisco S. Melo Mohamed Chetouani Francisco C. Santos 11 0 0 30 Jan 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 32 11 0 05 Jan 2022
Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning Michael J. Curry Alexander R. Trott Soham R. Phade Yunru Bai Stephan Zheng 41 6 0 03 Jan 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Xidong Feng Bo Liu Jie Ren Luo Mai Rui Zhu Haifeng Zhang Jun Wang Yaodong Yang 14 12 0 31 Dec 2021
Lyapunov Exponents for Diversity in Differentiable Games Jonathan Lorraine Paul Vicol Jack Parker-Holder Tal Kachman Luke Metz Jakob N. Foerster 35 7 0 24 Dec 2021
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 30 21 0 20 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 36 2 0 14 Dec 2021
Continual Learning In Environments With Polynomial Mixing Times Matthew D Riemer Sharath Chandra Raparthy Ignacio Cases G. Subbaraj M. P. Touzel Irina Rish CLL 41 8 0 13 Dec 2021
Normative Disagreement as a Challenge for Cooperative AI J. Stastny Maxime Riché Alexander Lyzhov Johannes Treutlein Allan Dafoe Jesse Clifton 21 9 0 27 Nov 2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning Pinkesh Badjatiya Mausoom Sarkar Nikaash Puri Jayakumar Subramanian Abhishek Sinha Siddharth Singh Balaji Krishnamurthy 9 1 0 23 Nov 2021
Polymatrix Competitive Gradient Descent Jeffrey Ma Alistair Letcher F. Schafer Yuanyuan Shi Anima Anandkumar 9 4 0 16 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 37 4 0 10 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 44 58 0 26 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 32 49 0 20 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain A. Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games Patrick Phillips 19 4 0 10 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 38 35 0 05 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning tasks Antti Keurulainen Isak Westerlund Ariel Kwiatkowski Samuel Kaski Alexander Ilin 6 0 0 04 Oct 2021
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams Erdem Biyik Anusha Lalitha R. Saha Andrea J. Goldsmith Dorsa Sadigh 21 4 0 02 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 46 10 0 30 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 32 38 0 25 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 33 19 0 14 Sep 2021
Model-Based Opponent Modeling Xiaopeng Yu Jiechuan Jiang Wanpeng Zhang Haobin Jiang Zongqing Lu OffRL 35 28 0 04 Aug 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 18 25 0 27 Jul 2021