Actor-Attention-Critic for Multi-Agent Reinforcement Learning

5 October 2018

Papers citing "Actor-Attention-Critic for Multi-Agent Reinforcement Learning"

50 / 281 papers shown

Title
Agent-Centric Representations for Multi-Agent Reinforcement Learning Wenling Shang L. Espeholt Anton Raichuk Tim Salimans EgoV 32 10 0 19 Apr 2021
Joint Attention for Multi-Agent Coordination and Social Learning Dennis Lee Natasha Jaques Chase Kew Jiaxing Wu Douglas Eck Dale Schuurmans Aleksandra Faust 30 8 0 15 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 36 27 0 30 Mar 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 52 15 0 27 Mar 2021
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction T. Nguyen Thomas P. Quinn Thin Nguyen T. Tran CML OOD 39 10 0 24 Mar 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 42 31 0 22 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review Mateusz Jurewicz Leon Derczynski BDL 27 9 0 17 Mar 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models Daniel Willemsen M. Coppola Guido de Croon 30 30 0 05 Mar 2021
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning Sheng Li Yutai Zhou R. Allen Mykel J. Kochenderfer 57 13 0 24 Feb 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 52 7 0 21 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting Tim Seyde Igor Gilitschenski Lucas Liebenwein Ryan M Sander S. Karaman Daniela Rus BDL 30 37 0 19 Feb 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu Xinrun Wang Runsheng Yu Xu He Rongpin Wang Bo An S. Obraztsova Zinovi Rabinovich 35 50 0 16 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning Weijiao Zhang Hao Liu Fan Wang Tong Xu Haoran Xin Dejing Dou Hui Xiong 35 80 0 15 Feb 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning Xiaoteng Ma Yiqin Yang Chenghao Li Yiwen Lu Qianchuan Zhao Yang Jun 52 13 0 10 Feb 2021
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning Xueguang Lyu Yuchen Xiao Brett Daley Chris Amato OffRL 27 103 0 08 Feb 2021
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning Heechang Ryu Hayong Shin Jinkyoo Park 19 5 0 18 Jan 2021
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning L. Zintgraf Sam Devlin K. Ciosek Shimon Whiteson Katja Hofmann BDL 21 42 0 11 Jan 2021
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning P. Parnika Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda S. Bhatnagar 59 19 0 07 Jan 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 47 58 0 10 Dec 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 19 12 0 17 Nov 2020
Scalable Reinforcement Learning Policies for Multi-Agent Control Christopher D. Hsu Heejin Jeong George J. Pappas Pratik Chaudhari 23 33 0 16 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency Junwei Zhang Zhenghao Zhang Shuai Han Shuai Lu 34 41 0 11 Nov 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control Shanghang Zhang Jieyu Lin Qi Zhang 50 57 0 27 Oct 2020
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning Gideon Stein Andrey Filchenkov Arip Asadulaev OffRL 29 2 0 23 Oct 2020
Multi-Agent Collaboration via Reward Attribution Decomposition Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 44 40 0 16 Oct 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 28 40 0 15 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning Navid Naderializadeh Fan Hung S. Soleyman D. Khosla 21 27 0 09 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 32 88 0 05 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 35 204 0 04 Oct 2020
Correcting Experience Replay for Multi-Agent Communication S. Ahilan Peter Dayan 22 10 0 02 Oct 2020
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 43 74 0 30 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 29 6 0 20 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 29 9 0 09 Sep 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication Xu He Bo An Yanghua Li Haikai Chen Rongpin Wang Xinrun Wang Runsheng Yu Xin Zhe Li Zhirong Wang 23 29 0 21 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 40 175 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara K. Takeda 44 8 0 07 Jul 2020
Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning Tianyu Shi Changyin Sun Yuankai Wu L. Miranda-Moreno Lijun Sun 22 12 0 06 Jul 2020
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning Meng Zhou Ziyu Liu Pengwei Sui Yixuan Li Yuk Ying Chung 31 26 0 06 Jul 2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings Liang Yu Yi Sun Zhanbo Xu Chao Shen Dong Yue Tao Jiang X. Guan AI4CE 24 212 0 25 Jun 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son SungSoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 28 2 0 22 Jun 2020
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning Sheng Li Jayesh K. Gupta Peter Morales R. Allen Mykel J. Kochenderfer GNN 33 82 0 19 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 33 347 0 18 Jun 2020
Competitive Policy Optimization Manish Prajapat Kamyar Azizzadenesheli Alexander Liniger Yisong Yue Anima Anandkumar 26 14 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 221 0 14 Jun 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 31 36 0 10 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 34 64 0 07 Jun 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 14 13 0 04 Jun 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 30 21 0 17 Apr 2020
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning Yongyuan Liang Bangwei Li 22 10 0 29 Mar 2020