Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

29 March 2017

Jun Wang

Papers citing "Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games"

50 / 165 papers shown

Title
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 23 161 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
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong Yan Ni 19 89 0 03 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
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 58 1,184 0 24 Nov 2019
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning Runsheng Yu Zhenyu Shi Xinrun Wang R. Wang Buhong Liu Xinwen Hou Hanjiang Lai Bo An 14 4 0 18 Nov 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 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
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 146 355 0 16 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 20 133 0 11 Oct 2019
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation Yunkai Wang Shenhan Jia Zexi Chen Zheyuan Huang R. Xiong 19 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
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 25 115 0 27 Sep 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 10 16 0 25 Sep 2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning Liheng Chen Hongyi Guo Yali Du Fei Fang Haifeng Zhang Yaoming Zhu Ming Zhou Weinan Zhang Qing Wang Yong Yu 16 8 0 10 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
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control S. Zhang Qi Zhang Jieyu Lin 8 99 0 06 Sep 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 15 0 0 16 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 412 0 11 Aug 2019
Efficient Policy Learning for Non-Stationary MDPs under Adversarial Manipulation Tiancheng Yu S. Sra AAML 13 2 0 22 Jul 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments Elaheh Barati Xuewen Chen 19 13 0 19 Jul 2019
Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning Matthew A. Wright R. Horowitz 17 3 0 31 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 27 33 0 17 May 2019
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing Hangyu Mao Zhibo Gong Zhengchao Zhang Zhen Xiao Yan Ni AI4CE 17 20 0 26 Feb 2019
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning Macheng Shen Jonathan P. How AAML 17 13 0 14 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim Sang-chul Moon D. Hostallero Wan Ju Kang Taeyoung Lee Kyunghwan Son Yung Yi 37 205 0 05 Feb 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li Zhiwei Qin Qin Yan Jiao Yaodong Yang Zhichen Gong Jun Wang Chenxi Wang Guobin Wu Jieping Ye 11 195 0 31 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 26 52 0 26 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 39 148 0 26 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 71 0 12 Jan 2019
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar 29 239 0 23 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 20 0 0 05 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
Modular Architecture for StarCraft II with Deep Reinforcement Learning Dennis Lee Mizanur Rahman Jeffrey O. Zhang Huazhe Xu Jerome McClendon Pieter Abbeel 34 56 0 08 Nov 2018
Multi-Agent Common Knowledge Reinforcement Learning Christian Schroeder de Witt Jakob N. Foerster Gregory Farquhar Philip Torr Wendelin Bohmer Shimon Whiteson 19 107 0 27 Oct 2018
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 22 378 0 26 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 11 335 0 22 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 550 0 12 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 20 53 0 29 Sep 2018
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction Hongyao Tang Jianye Hao Tangjie Lv Yingfeng Chen Zongzhang Zhang ... Chunxu Ren Yan Zheng Zhaopeng Meng Changjie Fan Li Wang OffRL 17 23 0 25 Sep 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game Peng Sun Xinghai Sun Lei Han Jiechao Xiong Qing Wang ... Yang Zheng Ji Liu Yongsheng Liu Han Liu Tong Zhang 29 75 0 19 Sep 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo VLM AI4CE 18 46 0 15 Aug 2018
DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes Mehmet Sinan Inci T. Eisenbarth B. Sunar AAML 16 8 0 03 Aug 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 28 481 0 20 May 2018
QMIX: 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 78 1,656 0 30 Mar 2018