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03/02/2023
Learning not to Regret
Regret minimization is a key component of many algorithms for finding Na...
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12/06/2021
Player of Games
Games have a long history of serving as a benchmark for progress in arti...
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11/10/2021
Search in Imperfect Information Games
From the very dawn of the field, search with value functions was a funda...
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01/11/2021
Solving Common-Payoff Games with Approximate Policy Iteration
For artificially intelligent learning systems to have widespread applica...
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08/27/2020
The Advantage Regret-Matching Actor-Critic
Regret minimization has played a key role in online learning, equilibriu...
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06/15/2020
Sound Search in Imperfect Information Games
Search has played a fundamental role in computer game research since the...
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04/20/2020
Approximate exploitability: Learning a best response in large games
A common metric in games of imperfect information is exploitability, i.e...
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07/22/2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Extensive-form games (EFGs) are a common model of multi-agent interactio...
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06/26/2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making
Multiagent decision-making problems in partially observable environments...
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10/26/2018
Revisiting CFR+ and Alternating Updates
The CFR+ algorithm for solving imperfect information games is a variant ...
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09/09/2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines
Learning strategies for imperfect information games from samples of inte...
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01/06/2017
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Artificial intelligence has seen several breakthroughs in recent years, ...
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12/20/2016
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games
Evaluating agent performance when outcomes are stochastic and agents use...
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03/04/2016
Text Understanding with the Attention Sum Reader Network
Several large cloze-style context-question-answer datasets have been int...
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10/13/2015
