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01/22/2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
In their seminal work, Nayyar et al. (2013) showed that imperfect inform...
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06/12/2022
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Algorithms designed for single-agent reinforcement learning (RL) general...
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05/24/2022
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections
Hindsight rationality is an approach to playing general-sum games that p...
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10/28/2021
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
We investigate the convergence of stochastic mirror descent (SMD) in rel...
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02/13/2021
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Hindsight rationality is an approach to playing multi-agent, general-sum...
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01/23/2021
Optimistic and Adaptive Lagrangian Hedging
In online learning an algorithm plays against an environment with losses...
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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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12/10/2020
Hindsight and Sequential Rationality of Correlated Play
Driven by recent successes in two-player, zero-sum game solving and play...
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12/06/2019
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization
Function approximation is a powerful approach for structuring large deci...
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10/03/2019
Bounds for Approximate Regret-Matching Algorithms
A dominant approach to solving large imperfect-information games is Coun...
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06/25/2019