Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

18 November 2020

Christian Schroeder de Witt

Papers citing "Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?"

26 / 26 papers shown

Title
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas Zihao Guo Richard Willis Richard Willis Tristan Tomilin Joel Z Leibo Yali Du 81 0 0 18 Mar 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 100 39 0 03 Jan 2025
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning Xingyu Wang Jin Zhou Yuanli Feng Jiahao Mei Jiming Chen Shuo Li 70 1 0 25 Sep 2024
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains Yinzhu Quan Zefang Liu LLMAG 84 4 0 16 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 82 21 0 05 Jul 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time Soumyendu Sarkar Avisek Naug Ricardo Luna Antonio Guillen Vineet Gundecha Sahand Ghorbanpour Sajad Mousavi Dejan Markovikj Ashwin Ramesh Babu AI4CE 44 8 0 21 Mar 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 90 3 0 30 Dec 2023
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 101 53 0 23 Sep 2020
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Firdaus Janoos L. Rudolph Aleksander Madry AAML 46 225 0 25 May 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 81 781 0 19 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 161 358 0 16 Oct 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 46 175 0 27 Sep 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning Wendelin Bohmer Tabish Rashid Shimon Whiteson 23 24 0 05 Jun 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 50 793 0 14 May 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 40 123 0 19 Mar 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 74 941 0 11 Feb 2019
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 118 1,662 0 30 Mar 2018
Guided Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 42 130 0 18 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 51 868 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 208 18,685 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 64 997 0 16 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 52 2,062 0 24 May 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 161 8,805 0 04 Feb 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 38 3,368 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 237 6,722 0 19 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 166 18,534 0 06 Feb 2015