ColosseumRL: A Framework for Multiagent Reinforcement Learning in $N$-Player Games

Alexander Shmakov, John Lanier, Stephen McAleer +3

Much of recent success in multiagent reinforcement learning has been in two-player zero-sum games. In these games, algorithms such as fictitious self-play and minimax tree search c…