Modeling Others using Oneself in Multi-Agent Reinforcement Learning

26 February 2018

Papers citing "Modeling Others using Oneself in Multi-Agent Reinforcement Learning"

27 / 27 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 78 33 0 03 Jan 2025
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 39 2 0 17 Oct 2024
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong Yizhe Huang Song-Chun Zhu Siyuan Qi Xue Feng 26 2 0 10 Oct 2024
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 16 2 0 10 Feb 2024
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 14 3 0 22 Jun 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 18 12 0 19 Dec 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces Elie Aljalbout Maximilian Karl Patrick van der Smagt 19 5 0 28 Nov 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau Jinke He Mustafa Mert cCelikok M. Spaan F. Oliehoek 9 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
Learning to Infer Belief Embedded Communication Guo Ye Han Liu B. Sengupta 11 0 0 15 Mar 2022
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 26 3 0 02 Dec 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 17 5 0 05 Nov 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 19 68 0 15 Oct 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei C. Karen Liu Silvio Savarese 34 33 0 13 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh A. Schwing 16 15 0 06 Aug 2021
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 10 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 10 132 0 12 Nov 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 21 217 0 14 Jun 2020
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen Chang Wang Jian Huang Jianxing Gong 6 5 0 26 May 2020
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 11 9 0 05 Oct 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 15 19 0 18 Sep 2019
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 14 30 0 17 May 2019
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 21 56 0 08 Mar 2019
Learning to Collaborate in Markov Decision Processes Goran Radanović R. Devidze David C. Parkes Adish Singla 19 33 0 23 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 25 549 0 12 Oct 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 14 466 0 21 Feb 2018