TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

25 November 2020

Papers citing "TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning"

6 / 6 papers shown

Title
Neural Categorical Priors for Physics-Based Character Control Qing Zhu He Zhang Mengting Lan Lei Han 29 32 0 14 Aug 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xinyu Wang 34 0 0 16 Mar 2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play Wei Xi Yongxin Zhang Changnan Xiao Xuefeng Huang Shihong Deng Haowei Liang Jie Chen Peng Sun OffRL 50 8 0 07 Mar 2023
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 16 6 0 03 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 34 5 0 21 Sep 2022
A Unified View of Large-scale Zero-sum Equilibrium Computation Kevin Waugh J. Andrew Bagnell 53 25 0 18 Nov 2014