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06/04/2022
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration
Neural replicator dynamics (NeuRD) is an alternative to the foundational...
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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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11/15/2021
The Partially Observable History Process
We introduce the partially observable history process (POHP) formalism f...
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10/29/2021
Learning to Be Cautious
A key challenge in the field of reinforcement learning is to develop age...
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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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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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08/27/2020
The Advantage Regret-Matching Actor-Critic
Regret minimization has played a key role in online learning, equilibriu...
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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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08/26/2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in...
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06/01/2019
Neural Replicator Dynamics
In multiagent learning, agents interact in inherently nonstationary envi...
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03/13/2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
In this paper, we present exploitability descent, a new algorithm to com...
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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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11/28/2014
