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 / 546 papers shown

Title
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control Tong Liu Lei Lei Kan Zheng Xuemin X. Shen 38 6 0 19 Nov 2023
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning Chuhao Qin Evangelos Pournaras 35 1 0 16 Nov 2023
Learning Independently from Causality in Multi-Agent Environments Rafael Pina V. D. Silva Corentin Artaud LRM 16 0 0 05 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 23 5 0 01 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 24 0 0 01 Nov 2023
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning Sleiman Safaoui Abraham P. Vinod Ankush Chakrabarty R. Quirynen Nobuyuki Yoshikawa Stefano Di Cairano 23 2 0 31 Oct 2023
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach Stephen Mak Liming Xu Tim Pearce Michael Ostroumov Alexandra Brintrup 29 11 0 26 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 30 5 0 19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams Yasin Findik Paul Robinette Kshitij Jerath S. Ahmadzadeh 29 2 0 19 Oct 2023
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control Xianyue Peng Hang Gao Hao Wang H. M. Zhang H. Michael Zhang 42 1 0 17 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 28 2 0 15 Oct 2023
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models Saaket Agashe Yue Fan Anthony Reyna Xin Wang LLMAG LRM 102 10 0 05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization E. V. D. Sar Alessandro Zocca S. Bhulai 32 0 0 04 Oct 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 24 5 0 26 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Ruize Zhang Yi Wu Yu Wang 30 28 0 22 Sep 2023
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning Mingya Hua Bin Shuai Quan Zhou Jinhai Wang Yinglong He Hongming Xu 42 2 0 28 Aug 2023
Policy Diversity for Cooperative Agents M. Tan Andong Tian Ludovic Denoyer 32 2 0 28 Aug 2023
MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange Jiarong Fan Hao Wang Ariel Liebman 17 1 0 27 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 36 3 0 25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response Lei Han Chunyu Tu Zhiwen Yu Zhiyong Yu Weihua Shan Liang Wang Bin Guo 14 2 0 21 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making Giovanni Minelli Mirco Musolesi 33 0 0 21 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 38 0 0 13 Aug 2023
View while Moving: Efficient Video Recognition in Long-untrimmed Videos Ye Tian Meng Yang Lanshan Zhang Zhizhen Zhang Yang Liu Xiao-Zhu Xie Xirong Que Wendong Wang 24 7 0 09 Aug 2023
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning Jingdi Chen Tian-Shing Lan Carlee Joe-Wong 17 15 0 07 Aug 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 38 1 0 27 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization Xiangsen Wang Haoran Xu Yinan Zheng Xianyuan Zhan OffRL 33 23 0 21 Jul 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Aaron C. Courville 19 6 0 17 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 30 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 59 157 0 05 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 23 7 0 04 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 22 3 0 22 Jun 2023
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction Cheng Ruei Tang J. Hsieh Shin-You Teng 16 0 0 16 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Cheng Chen Kai Zhang Chao Yu Jianye Hao 35 1 0 14 Jun 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Yanhao Huang Jie Song 31 18 0 27 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 29 6 0 22 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 Eshraghian 31 52 0 18 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 11 1 0 09 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 23 3 0 09 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 43 3 0 08 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 23 3 0 04 May 2023
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation Ziqing Zhu K. Chan S. Bu Ze Hu S. Xia 13 2 0 04 May 2023
How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 1: A Paradigmatic Theory Ziqing Zhu S. Bu K. Chan Bin Zhou S. Xia 16 0 0 04 May 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan Ali H. Sayed 37 1 0 19 Apr 2023
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing Yiqin Deng Haixia Zhang Xianhao Chen Yuguang Fang 21 2 0 14 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm Jiankai Gao Yang Li Bin Wang Haibo Wu 16 11 0 01 Apr 2023