Learning to Communicate with Deep Multi-Agent Reinforcement Learning

21 May 2016

Papers citing "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"

50 / 319 papers shown

Title
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 203 0 04 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 33 26 0 04 Oct 2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning Chi Zhang Philip Odonkor Shuai Zheng H. Khorasgani Susumu Serita Chetan Gupta 30 20 0 24 Aug 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information Yuandong Tian Qucheng Gong Tina Jiang 31 19 0 14 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 51 166 0 09 Jul 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 33 346 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet Joel Lehman 17 32 0 08 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 197 0 03 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 31 32 0 31 May 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning Angeliki Lazaridou Anna Potapenko O. Tieleman LLMAG 33 96 0 14 May 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 28 108 0 03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 26 26 0 01 Apr 2020
Who2com: Collaborative Perception via Learnable Handshake Communication Yen-Cheng Liu Junjiao Tian Chih-Yao Ma Nathan Glaser Chia-Wen Kuo Z. Kira 23 162 0 21 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 772 0 19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 57 211 0 18 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 39 124 0 17 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren Shangmin Guo Matthieu Labeau Shay B. Cohen S. Kirby 22 97 0 04 Feb 2020
Towards Learning Multi-agent Negotiations via Self-Play Yichuan Tang 17 33 0 28 Jan 2020
Adversarially Guided Self-Play for Adopting Social Conventions Mycal Tucker Yilun Zhou J. Shah 24 14 0 16 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 24 82 0 04 Dec 2019
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao Wulong Liu Jianye Hao Jun Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao OffRL 30 74 0 03 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 36 24 0 28 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 45 142 0 11 Nov 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 31 51 0 24 Oct 2019
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination Dongge Han Wendelin Bohmer Michael Wooldridge A. Rogers 22 17 0 21 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 22 40 0 21 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 30 29 0 19 Oct 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 16 24 0 16 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 137 0 12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 23 133 0 11 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt AAML 29 60 0 04 Oct 2019
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation Yunkai Wang Shenhan Jia Zexi Chen Zheyuan Huang R. Xiong 21 0 0 30 Sep 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 22 89 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 21 174 0 27 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 37 646 0 17 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 98 91 0 08 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 33 57 0 04 Sep 2019