1.1k citations · 1.8k across the 33 of their papers we have counts for
4 papers · 2 filters
Game Theoretic Rating in N-player general-sum games with Equilibria
Luke Marris, Marc Lanctot, Ian Gemp +5
Rating strategies in a game is an important area of research in game theory and artificial intelligence, and can be applied to any real-world competitive or cooperative setting. Tr…
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen McAleer, Gabriele Farina, Marc Lanctot +1
Recent techniques for approximating Nash equilibria in very large games leverage neural networks to learn approximately optimal policies (strategies). One promising line of researc…
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections
Dustin Morrill, Ryan D'Orazio, Marc Lanctot +3
Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further…
Anytime PSRO for Two-Player Zero-Sum Games
Stephen McAleer, Kevin Wang, John Lanier +4
Policy space response oracles (PSRO) is a multi-agent reinforcement learning algorithm that has achieved state-of-the-art performance in very large two-player zero-sum games. PSRO…