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03/02/2023
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
Progress in fields of machine learning and adversarial planning has bene...
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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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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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01/11/2021
Solving Common-Payoff Games with Approximate Policy Iteration
For artificially intelligent learning systems to have widespread applica...
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11/28/2020
Human-Agent Cooperation in Bridge Bidding
We introduce a human-compatible reinforcement-learning approach to a coo...
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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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02/19/2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
In this paper we investigate the Follow the Regularized Leader dynamics ...
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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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02/01/2019
The Hanabi Challenge: A New Frontier for AI Research
From the early days of computing, games have been important testbeds for...
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11/04/2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
When observing the actions of others, humans carry out inferences about ...
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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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01/15/2014
Predicting the Performance of IDA* using Conditional Distributions
Korf, Reid, and Edelkamp introduced a formula to predict the number of n...
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07/04/2012
Bayes' Bluff: Opponent Modelling in Poker
Poker is a challenging problem for artificial intelligence, with non-det...
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05/03/2012