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Improving Search with Supervised Learning in Trick-Based Card Games

Improving Search with Supervised Learning in Trick-Based Card Games

22 March 2019
Christopher Solinas
Douglas Rebstock
M. Buro
ArXiv (abs)PDFHTML

Papers citing "Improving Search with Supervised Learning in Trick-Based Card Games"

5 / 5 papers shown
Title
Learning in Games with Progressive Hiding
Learning in Games with Progressive Hiding
Benjamin Heymann
Marc Lanctot
72
0
0
05 Sep 2024
Improving Bidding and Playing Strategies in the Trick-Taking game Wizard
  using Deep Q-Networks
Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks
Jonas Schumacher
Marco Pleines
56
0
0
27 May 2022
On the Power of Refined Skat Selection
On the Power of Refined Skat Selection
Stefan Edelkamp
22
2
0
07 Apr 2021
Survey of Artificial Intelligence for Card Games and Its Application to
  the Swiss Game Jass
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
Joel Niklaus
Michele Alberti
Vinaychandran Pondenkandath
Rolf Ingold
Marcus Liwicki
34
8
0
11 Jun 2019
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
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