Learning to Play against Any Mixture of Opponents. - Max Olan Smith; Thomas Anthony 001; Yongzhao Wang 001; Michael P. Wellman (CoRR, 2020)

Iterative Empirical Game Solving via Single Policy Best Response. - Max Olan Smith; Thomas Anthony 001; Michael P. Wellman (ICLR, 2021)

Co-Learning Empirical Games and World Models. - Max Olan Smith; Michael P. Wellman (CoRR, 2023)

Strategic Knowledge Transfer. - Max Olan Smith; Thomas W. Anthony 001; Michael P. Wellman (J. Mach. Learn. Res., 2023)

Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. - Marc Lanctot; John Schultz; Neil Burch; Max Olan Smith; Daniel Hennes; Thomas Anthony 001; Julien Pérolat (Trans. Mach. Learn. Res., 2023)

Learning to play against any mixture of opponents. - Max Olan Smith; Thomas W. Anthony 001; Michael P. Wellman (Frontiers Artif. Intell., 2023)

Co-Learning Empirical Games & World Models. - Max Olan Smith; Michael P. Wellman (RLJ, 2024)