AIVAT: A New Variance Reduction Technique for Agent Evaluation in
Imperfect Information Games

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AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games

20 December 2016

Matej Moravcík

Michael Bowling

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Papers citing "AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games"

6 / 6 papers shown

Title
Empirical Validation of the Independent Chip Model Juho Kim 23 0 0 30 May 2025
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 141 134 0 27 Jul 2020
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis Martin Schmid Michael Bowling OffRL 80 19 0 22 Jul 2019
Double Neural Counterfactual Regret Minimization Hui Li Kailiang Hu Zhibang Ge Tao Jiang Yuan Qi Le Song 71 52 0 27 Dec 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 158 64 0 09 Sep 2018
Depth-Limited Solving for Imperfect-Information Games Noam Brown Tuomas Sandholm Brandon Amos 77 81 0 21 May 2018