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 / 633 papers shown

Title
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games Macheng Shen Jonathan P. How AAML 29 19 0 18 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 39 646 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
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 18 0 0 16 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 413 0 11 Aug 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 28 112 0 10 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 17 977 0 19 Jul 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 18 1 0 18 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 10 93 0 08 Jul 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 27 33 0 24 Jun 2019
Ease-of-Teaching and Language Structure from Emergent Communication Fushan Li Michael Bowling 31 101 0 06 Jun 2019
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances Diane Bouchacourt Marco Baroni 21 22 0 28 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 349 0 25 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
A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian Ying Wen Zhichen Gong Faiz Punakkath Shihao Zou Jun Wang 30 31 0 17 May 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda Prabuchandran K.J. S. Bhatnagar 21 18 0 08 May 2019
Robust Multi-agent Counterfactual Prediction A. Peysakhovich Christian Kroer Adam Lerer 27 11 0 03 Apr 2019
A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence S. Pontes-Filho Stefano Nichele AI4CE 21 6 0 25 Mar 2019
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus Yan Zhang Michael M. Zavlanos OffRL 11 46 0 21 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suárez Yilun Du Phillip Isola Igor Mordatch 16 71 0 02 Mar 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
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 44 148 0 19 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 25 55 0 18 Feb 2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning Jintao Ke F. Xiao Hai Yang Jieping Ye 18 25 0 17 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 47 932 0 11 Feb 2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning Hassam Sheikh Ladislau Bölöni 15 3 0 28 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 29 52 0 26 Jan 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 22 55 0 24 Jan 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay Kumar 14 30 0 24 Jan 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition Diego Perez-Liebana Katja Hofmann Sharada Mohanty Noburu Kuno André Kramer Sam Devlin Raluca D. Gaina Daniel Ionita LRM 29 35 0 23 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 29 15 0 13 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar 29 240 0 23 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems Hyung-Jin Yoon Huaiyu Chen Kehan Long Heling Zhang Aditya Gahlawat Donghwan Lee N. Hovakimyan 29 6 0 13 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen Hanwang Zhang Jun Xiao Xiangnan He Shiliang Pu Shih-Fu Chang 28 159 0 06 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 24 52 0 10 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 27 25 0 06 Nov 2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster H. F. Song Edward Hughes Neil Burch Iain Dunning Shimon Whiteson M. Botvinick Michael Bowling 16 148 0 04 Nov 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
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 14 12 0 22 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 11 335 0 22 Oct 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 8 148 0 21 Oct 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,423 0 18 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 6 737 0 05 Oct 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 22 53 0 29 Sep 2018