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 / 650 papers shown

Title
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 38 2 0 30 Nov 2021
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning Ralvi Isufaj Marsel Omeri M. A. Piera 25 16 0 29 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 20 2 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 48 417 0 24 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning Daniel J. B. Harrold Jun Cao Zhongbo Fan 39 61 0 21 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 24 33 0 10 Nov 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems Jiayu Chen Yuanxin Zhang Yuanfan Xu Huimin Ma Huazhong Yang Jiaming Song Yu Wang Yi Wu VLM DRL 26 32 0 08 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 33 5 0 05 Nov 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning Astrid Vanneste Wesley Van Wijnsberghe Simon Vanneste Kevin Mets Siegfried Mercelis Steven Latré P. Hellinckx 24 4 0 29 Oct 2021
Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin Minyoung Huh C. Stauffer Ser-Nam Lim Phillip Isola AI4CE 48 52 0 28 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 11 40 0 28 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 44 59 0 26 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 37 4 0 22 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 37 49 0 20 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 19 67 0 15 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 124 161 0 15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain Alex Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kaipeng Zhang Tamer Bacsar 46 57 0 12 Oct 2021
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? Ziang Song Song Mei Yu Bai 74 67 0 08 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 51 34 0 05 Oct 2021
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing Baris Yamansavascilar A. C. Baktir Cagatay Sonmez Atay Ozgovde Cem Ersoy 16 23 0 05 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 54 10 0 30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems Junfeng Chen Yuan Gao Junjie Hu Fuqin Deng Tin Lun Lam 35 1 0 28 Sep 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay Kumar 101 53 0 25 Sep 2021
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways S. Nakka Behdad Chalaki Andreas A. Malikopoulos 24 23 0 23 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 46 231 0 23 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning Chapman Siu Jason M. Traish R. Xu 33 2 0 19 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning Javier Yu Joseph A. Vincent Mac Schwager 50 35 0 17 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 43 9 0 17 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 35 19 0 14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 93 0 14 Sep 2021
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems Heunchul Lee Jaeseong Jeong 29 8 0 10 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 27 24 0 08 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments Zhenhui Ye Xiaohong Jiang Guang-hua Song Bowei Yang 33 1 0 05 Sep 2021
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 28 1 0 03 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization E. Kargar Ville Kyrki 24 2 0 02 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 43 54 0 31 Aug 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 24 59 0 19 Aug 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning Mateus P. Mota Álvaro Valcarce J. Gorce J. Hoydis 30 39 0 16 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards Mengyuan Li Bin Guo Jiangshan Zhang Jiaqi Liu Sicong Liu Zhiwen Yu Zhetao Li Liyao Xiang 27 13 0 16 Aug 2021
Semantics-Native Communication with Contextual Reasoning Hyowoon Seo Jihong Park M. Bennis Mérouane Debbah LRM 48 36 0 12 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 27 16 0 09 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh Alex Schwing 32 15 0 06 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 20 21 0 05 Aug 2021