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 / 547 papers shown

Title
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract) Li Huang Nai-Zen Hseuh Yen-Che Chien Wei-Yao Wang Kuang-Da Wang Wenxia Peng OffRL 32 5 0 22 Nov 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 45 12 0 22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 22 3 0 21 Nov 2022
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach Zihan Guo Yan Wu Lifang Wang Junzhi Zhang 34 14 0 15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 22 4 0 14 Nov 2022
Satellite Navigation and Coordination with Limited Information Sharing Sydney I. Dolan Siddharth Nayak H. Balakrishnan 25 5 0 07 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 16 8 0 06 Nov 2022
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control Ziyan Yin Zhe Wang Jun Li Ming Ding Wen Chen Shi Jin 38 13 0 04 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 34 9 0 26 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 35 14 0 26 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 35 0 0 24 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 35 22 0 22 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 42 17 0 17 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen Hangyu Mao Jiaxin Mao Shiguang Wu Tianle Zhang Bin Zhang Bin Wang Hong Chang OffRL 36 7 0 17 Oct 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 15 5 0 14 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 37 29 0 13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta M. Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos Diogo S. Carvalho Miguel Vasco Alberto Sardinha Pedro A. Santos Ana Paiva Francisco S. Melo 21 1 0 12 Oct 2022
Phantom -- A RL-driven multi-agent framework to model complex systems Leo Ardon Jared Vann Deepeka Garg Thomas Spooner Sumitra Ganesh 30 7 0 12 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 21 16 0 09 Oct 2022
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 25 2 0 07 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 35 19 0 05 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 24 7 0 04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 16 6 0 03 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 16 40 0 29 Sep 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 32 4 0 28 Sep 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning Junfeng Chen Fuqin Deng Yuan Gao Junjie Hu Xiyue Guo Guanqi Liang Tin Lun Lam 31 7 0 28 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 51 10 0 20 Sep 2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control Yunbo Qiu Yuzhu Zhan Yue Jin Jian Wang Xudong Zhang 26 6 0 17 Sep 2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control Yunbo Qiu Yue Jin Jian Wang Xudong Zhang 16 1 0 17 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 36 6 0 17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 63 5 0 15 Sep 2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning Mingya Hua Zhi Li Quan Zhou 16 2 0 06 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving Ruiyang Yang Siheng Li Beihong Jin 26 0 0 05 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 27 1 0 30 Aug 2022
Decentralized Coordination in Partially Observable Queueing Networks Jiekai Jia Anam Tahir Heinz Koeppl 39 1 0 29 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space Yining Chen Ke Wang Guang-hua Song Xiaohong Jiang 25 3 0 23 Aug 2022
Exploring Task-oriented Communication in Multi-agent System: A Deep Reinforcement Learning Approach Guojun He 24 0 0 22 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse Thomas Rood Mateusz Malinowski Yoram Bachrach Tal Kachman 35 10 0 18 Aug 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 26 16 0 02 Aug 2022
Cooperative Actor-Critic via TD Error Aggregation Martin Figura Yixuan Lin Ji Liu V. Gupta 23 1 0 25 Jul 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 33 3 0 18 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked Systems Yali Du Chengdong Ma Yuchen Liu Runji Lin Hao Dong Jun Wang Yaodong Yang 34 8 0 13 Jul 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 18 36 0 07 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
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 26 35 0 20 Jun 2022
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges Dinh C. Nguyen Van-Dinh Nguyen Ming Ding Symeon Chatzinotas P. Pathirana Aruna Seneviratne O. Dobre Albert Y. Zomaya 6 10 0 17 Jun 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning Yuanpei Chen Tianhao Wu Shengjie Wang Xidong Feng Jiechuan Jiang ... Yiran Geng Hao Dong Zongqing Lu Song-Chun Zhu Yaodong Yang OffRL 38 108 0 17 Jun 2022