Title
Rulebook: bringing co-routines to reinforcement learning environments Massimo Fioravanti Samuele Pasini Giovanni Agosta 33 0 0 28 Apr 2025
Seeding for Success: Skill and Stochasticity in Tabletop Games J. Goodman Diego Perez-Liebana Simon Lucas 40 1 0 04 Mar 2025
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 29 1 0 30 Apr 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning G. dÉon N. Newman Kevin Leyton-Brown 27 0 0 29 Feb 2024
Natural Language Reinforcement Learning Xidong Feng Ziyu Wan Mengyue Yang Ziyan Wang Girish A. Koushiks Yali Du Ying Wen Jun Wang OffRL 35 3 0 11 Feb 2024
Can We Find Nash Equilibria at a Linear Rate in Markov Games? Zhuoqing Song Jason D. Lee Zhuoran Yang 27 8 0 03 Mar 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Phantom -- A RL-driven multi-agent framework to model complex systems Leo Ardon Jared Vann Deepeka Garg Thomas Spooner Sumitra Ganesh 25 7 0 12 Oct 2022
Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann C. Gros 24 26 0 29 Sep 2022
Hearts Gym: Learning Reinforcement Learning as a Team Event Jana Ebert Danimir T. Doncevic R. Kloss Stefan Kesselheim OffRL 19 0 0 07 Sep 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 28 3 0 18 Jul 2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games Stephen Marcus McAleer JB Lanier Kevin A. Wang Pierre Baldi Roy Fox T. Sandholm 27 18 0 13 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 41 2 0 12 Jul 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments Mohan Zhang Xiaozhou Wang Benjamin Decardi-Nelson Bo Song A. Zhang ... Jiayi Cheng Xiaohong Liu DengDeng Yu Matthew Poon Animesh Garg 11 4 0 17 Jun 2022
Impartial Games: A Challenge for Reinforcement Learning Bei Zhou Søren Riis 24 6 0 25 May 2022
Anytime PSRO for Two-Player Zero-Sum Games Stephen Marcus McAleer Kevin A. Wang John Lanier Marc Lanctot Pierre Baldi T. Sandholm Roy Fox 22 12 0 19 Jan 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 28 7 0 12 Jan 2022
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 11 5 0 07 Dec 2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets Selim Amrouni Aymeric Moulin Jared Vann Svitlana Vyetrenko T. Balch Manuela Veloso AI4CE 16 41 0 27 Oct 2021
Measuring the Non-Transitivity in Chess R. Sanjaya Jun Wang Yaodong Yang 8 22 0 22 Oct 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers Luke Marris Paul Muller Marc Lanctot K. Tuyls T. Graepel 35 36 0 17 Jun 2021
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking Yuxuan Chen Li Zhang Shijian Li Gang Pan 11 2 0 22 Apr 2021
Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota Edward Lockhart Finbarr Timbers Elnaz Davoodi Ryan DÓrazio Neil Burch Martin Schmid Michael H. Bowling Marc Lanctot 42 22 0 11 Jan 2021
Hindsight and Sequential Rationality of Correlated Play Dustin Morrill Ryan DÓrazio Reca Sarfati Marc Lanctot James Wright A. Greenwald Michael H. Bowling 19 30 0 10 Dec 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 11 42 0 08 Jun 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 11 13 0 28 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,178 0 24 Nov 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 18 58 0 10 Oct 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 20 89 0 27 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 40 408 0 11 Aug 2019