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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017

Pieter Abbeel

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

50 / 1,627 papers shown

Title
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 86 0 0 05 Jul 2023
Building Cooperative Embodied Agents Modularly with Large Language Models Hongxin Zhang Weihua Du Jiaming Shan Qinhong Zhou Yilun Du J. Tenenbaum Tianmin Shu Chuang Gan LLMAG LM&Ro 130 178 0 05 Jul 2023
Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning Jack Garbus Jordan Pollack 67 0 0 04 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 71 8 0 04 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning Y. Lo B. Sengupta Jakob N. Foerster Michael Noukhovitch 91 5 0 03 Jul 2023
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning Ini Oguntola Joseph Campbell Simon Stepputtis Katia Sycara 78 10 0 03 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 70 9 0 03 Jul 2023
Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms R. Chaput O. Boissier Mathieu Guillermin 30 2 0 02 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang Francesco Corman Andreas Krause Ilija Bogunovic 83 3 0 29 Jun 2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction Junlong Chen Jiawen Kang Minrui Xu Zehui Xiong Dusit Niyato Chuang Chen Abbas Jamalipour Shengli Xie 70 31 0 26 Jun 2023
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning Xiao Hu P. Guo Chuanwei Zhou Tong Zhang Zhen Cui 67 1 0 24 Jun 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 78 3 0 22 Jun 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL Pascal Leroy P. G. Morato J. Pisane A. Kolios D. Ernst OffRL 105 9 0 20 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 75 8 0 20 Jun 2023
Multi-user Reset Controller for Redirected Walking Using Reinforcement Learning Ho Jung Lee Sang-Bin Jeon Yong-Hun Cho In-Kwon Lee 16 2 0 20 Jun 2023
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment Zixuan Wu Sean Ye Manisha Natarajan Letian Chen Rohan R. Paleja Matthew C. Gombolay 96 3 0 20 Jun 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning Nikunj Gupta Somjit Nath Samira Ebrahimi Kahou 69 0 0 19 Jun 2023
Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning Yijia Wang Yangliu Cui Yang Li Yang Xu 42 29 0 19 Jun 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth Qingshuang Sun Denis Steckelmacher Yuan Yao Ann Nowé Raphael Avalos AI4CE 79 0 0 16 Jun 2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX Matthew Macfarlane Daniel Luo Donal Byrne Shikha Surana Sasha Abramowitz ... Siddarth S. Singh Daniel Furelos-Blanco Victor Le Arnu Pretorius Alexandre Laterre 124 31 0 16 Jun 2023
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction Cheng Ruei Tang J. Hsieh Shin-You Teng 39 0 0 16 Jun 2023
Mediated Multi-Agent Reinforcement Learning Dmitry Ivanov Ilya Zisman Kirill Chernyshev 81 9 0 14 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Chong Chen Kai Zhang Chao Yu Jianye Hao 87 1 0 14 Jun 2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications Jiangwei Wang Shuo Yang Ziyan An Songyang Han Zhili Zhang Rahul Mangharam Meiyi Ma Fei Miao 90 9 0 11 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation Jian Tao Yang Zhang Yang Chen Xiu Li 61 1 0 10 Jun 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu Rohan Chandra Tianrui Guan Amrit Singh Bedi Tianyi Zhou 114 5 0 09 Jun 2023
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments Jonathon Schwartz H. Kurniawati Marcus Hutter OffRL LRM 70 0 0 09 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents Ziyuan Zhou Guanjun Liu AAML 84 9 0 09 Jun 2023
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization Junjie Sheng Wenhao Li Bo Jin H. Zha Jun Wang Xiangfeng Wang 52 1 0 08 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit Xinhang Li Yiying Yang Zheng Yuan Zhe Wang Qinwen Wang Chen Xu Lei Li Jianhua He Lin Zhang 72 2 0 08 Jun 2023
Dual policy as self-model for planning J. Yoo Fernanda De La Torre G. R. Yang 35 1 0 07 Jun 2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility C. Park Gyusun Kim Soohyun Park Soyi Jung Joongheon Kim 51 24 0 07 Jun 2023
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control Shijie Wang Shangbo Wang 35 3 0 05 Jun 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee OffRL 88 2 0 04 Jun 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen Qi Zhang 81 4 0 02 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 133 41 0 01 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 86 14 0 31 May 2023
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility Flora Charbonnier Bei Peng Thomas Morstyn Malcolm McCulloch 53 7 0 30 May 2023
Reinforcement Learning With Reward Machines in Stochastic Games Jueming Hu Jean-Raphael Gaglione Yanze Wang Zhe Xu Ufuk Topcu Yongming Liu 65 1 0 27 May 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Jie Song Mingli Song 78 20 0 27 May 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem Paul Barde Jakob N. Foerster Derek Nowrouzezahrai Amy Zhang OffRL 73 12 0 26 May 2023
On Computing Universal Plans for Partially Observable Multi-Agent Path Finding Fengming Zhu Fang-Chang Lin 63 0 0 25 May 2023
MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks Kangkang Duan C. W. Suen Zhengbo Zou 41 1 0 23 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 95 6 0 22 May 2023
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations Keisuke Fujii Kazushi Tsutsui Atom Scott Hiroshi Nakahara Naoya Takeishi Yoshinobu Kawahara 92 6 0 22 May 2023
Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks Eley Ng Ziang Liu Monroe Kennedy DiffM 105 22 0 20 May 2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation Hikaru Asano Ryo Yonetani Mai Nishimura Tadashi Kozuno 83 0 0 19 May 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason K. Eshraghian 85 63 0 18 May 2023
Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization Yubao Zhang Xinyu Chen Sumei Gong Hao-lei Chen 145 9 0 17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 120 22 0 17 May 2023