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Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games


Sep 30, 2020
David Milec, Jakub Černý, Viliam Lisý, Bo An

* 14 pages, 11 figures, submitted to AAAI 2021 

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Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks


Sep 25, 2020
Jaromír Janisch, Tomáš Pevný, Viliam Lisý


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Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces


Nov 20, 2019
Jaromír Janisch, Tomáš Pevný, Viliam Lisý


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Classification with Costly Features as a Sequential Decision-Making Problem


Sep 05, 2019
Jaromír Janisch, Tomáš Pevný, Viliam Lisý


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Rethinking Formal Models of Partially Observable Multiagent Decision Making


Jun 26, 2019
Vojtěch Kovařík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý


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Classification with Costly Features using Deep Reinforcement Learning


Nov 20, 2017
Jaromír Janisch, Tomáš Pevný, Viliam Lisý


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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker


Mar 03, 2017
Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling


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