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Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

14 June 2020

Papers citing "Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks"

39 / 39 papers shown

Title
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes Shalin Jain Jiazhen Liu Siva Kailas Harish Ravichandar 145 0 0 10 May 2025
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation Songchen Fu Siang Chen Shaojing Zhao Letian Bai Ta Li Yonghong Yan 154 0 0 06 May 2025
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 100 1 0 24 May 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 390 1 0 04 Apr 2024
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 148 1,271 0 02 Mar 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing Filippos Christianos Georgios Papoudakis Arrasy Rahman Stefano V. Albrecht 58 118 0 15 Feb 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Niklas Höpner Filippos Christianos Stefano V. Albrecht 56 58 0 18 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 67 65 0 16 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 120 168 0 12 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 70 224 0 10 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 544 42,591 0 03 Dec 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu Hayong Shin Jinkyoo Park 51 116 0 27 Sep 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 71 364 0 03 Jul 2019
Reasoning about Hypothetical Agent Behaviours and their Parameters Stefano V. Albrecht Peter Stone 73 63 0 26 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 74 191 0 11 Jun 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 98 958 0 11 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 74 354 0 01 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 562 0 12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 69 752 0 05 Oct 2018
Pommerman: A Multi-Agent Playground Cinjon Resnick W. Eldridge David R Ha D. Britz Jakob N. Foerster Julian Togelius Kyunghyun Cho Joan Bruna LLMAG 67 86 0 19 Sep 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 160 1,676 0 30 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 72 202 0 26 Feb 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 125 1,963 0 19 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 83 874 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 73 1,013 0 16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,509 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 140 2,087 0 24 May 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 141 704 0 15 Mar 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 361 5,379 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 198 2,537 0 02 Nov 2016
Opponent Modeling in Deep Reinforcement Learning He He Jordan L. Boyd-Graber Kevin Kwok Hal Daumé III BDL 74 327 0 18 Sep 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 227 1,150 0 25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 155 1,614 0 21 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 94 1,695 0 22 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,879 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems Stefano V. Albrecht S. Ramamoorthy 61 119 0 03 Jun 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012