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Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

5 October 2021
Gregory Clark
ArXivPDFHTML

Papers citing "Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess"

4 / 4 papers shown
Title
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
Lotfi Kobrosly
Marc-Emmanuel Coupvent des Graviers
Christophe Guettier
Tristan Cazenave
33
0
0
13 May 2025
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
35
1
0
08 Jul 2024
Supervised and Reinforcement Learning from Observations in
  Reconnaissance Blind Chess
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess
T. Bertram
Johannes Furnkranz
Martin Müller
SSL
OnRL
18
7
0
03 Aug 2022
Towards Using Fully Observable Policies for POMDPs
Towards Using Fully Observable Policies for POMDPs
András Attila Sulyok
K. Karacs
9
1
0
24 Jul 2022
1