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Supervised and Reinforcement Learning from Observations in
  Reconnaissance Blind Chess

Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess

3 August 2022
T. Bertram
Johannes Furnkranz
Martin Müller
    SSLOnRL
ArXiv (abs)PDFHTML

Papers citing "Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess"

3 / 3 papers shown
Title
Efficiently Training Neural Networks for Imperfect Information Games by
  Sampling Information Sets
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
Timo Bertram
Johannes Fürnkranz
Martin Müller
33
0
0
08 Jul 2024
Neural Network-based Information Set Weighting for Playing
  Reconnaissance Blind Chess
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
Timo Bertram
Johannes Fürnkranz
Martin Müller
108
1
0
08 Jul 2024
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
261
913
0
06 Jan 2017
1