activity
20212025
most citedMastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

153 citations · 159 across the 6 of their papers we have counts for

collaborators
Showing 2022 · cs.MAShow all

1 paper · 2 filters

cs.MA2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments

Ian Gemp, Thomas Anthony, Yoram Bachrach +24

The Game Theory & Multi-Agent team at DeepMind studies several aspects of multi-agent learning ranging from computing approximations to fundamental concepts in game theory to simul…