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Marc Lanctot

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret

Jun 08, 2022
Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm

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Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games

May 31, 2022
Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess

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Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections

May 24, 2022
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald

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* This is a version of arXiv:2102.06973 showing corrections to the official version published at ICML 2021. 45 pages and 6 figures

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Anytime PSRO for Two-Player Zero-Sum Games

Jan 28, 2022
Stephen McAleer, Kevin Wang, John Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox

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* Published in AAAI Reinforcement Learning in Games Workshop

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Anytime Optimal PSRO for Two-Player Zero-Sum Games

Jan 19, 2022
Stephen McAleer, Kevin Wang, Marc Lanctot, John Lanier, Pierre Baldi, Roy Fox

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* Published in AAAI Reinforcement Learning in Games Workshop

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Dynamic population-based meta-learning for multi-agent communication with natural language

Oct 27, 2021
Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou

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* Accepted at NeurIPS 2021

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