Learning to Play against Any Mixture of Opponents

29 September 2020

Papers citing "Learning to Play against Any Mixture of Opponents"

4 / 4 papers shown

Title
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 30 17 0 15 Feb 2022
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers Chenguang Wang Yaodong Yang Oliver Slumbers Congying Han Tiande Guo Haifeng Zhang Jun Wang 19 17 0 28 Oct 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 135 355 0 16 Oct 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 111 595 0 28 Feb 2017