Team Leduc Poker

We used multi-agent learning algorithms to find a correlated equilibrium of the Team Leduc Hold'em game, a variant of Leduc poker where players 1 & 3 and players 2 & 4 play as a team without being able to communicate privately during the game. We submitted our strategies as part of the poker competition for MIT 6.S890 Multiagent Learning and got 2nd place.