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Monte Carlo Q-learning for General Game Playing
v1v2 (latest)

Monte Carlo Q-learning for General Game Playing

16 February 2018
Hui Wang
M. Emmerich
Aske Plaat
    GP
ArXiv (abs)PDFHTML

Papers citing "Monte Carlo Q-learning for General Game Playing"

7 / 7 papers shown
Title
Improve Value Estimation of Q Function and Reshape Reward with Monte
  Carlo Tree Search
Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search
Jiamian Li
184
0
0
15 Oct 2024
A Technique to Create Weaker Abstract Board Game Agents via
  Reinforcement Learning
A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning
Peter Jamieson
Indrima Upadhyay
45
1
0
01 Sep 2022
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward
  Reinforcement Learning
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement LearningSymposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2020
Hui Wang
Mike Preuss
M. Emmerich
Aske Plaat
LRM
189
9
0
14 Jun 2020
Warm-Start AlphaZero Self-Play Search Enhancements
Warm-Start AlphaZero Self-Play Search EnhancementsParallel Problem Solving from Nature (PPSN), 2020
Haibo Wang
Mike Preuss
Aske Plaat
95
13
0
26 Apr 2020
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in
  Self-Play?
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
Hui Wang
M. Emmerich
Mike Preuss
Aske Plaat
94
8
0
12 Mar 2020
Explainable Agents Through Social Cues: A Review
Explainable Agents Through Social Cues: A Review
Sebastian Wallkötter
Silvia Tulli
Ginevra Castellano
Ana Paiva
Mohamed Chetouani
189
13
0
11 Mar 2020
Hyper-Parameter Sweep on AlphaZero General
Hyper-Parameter Sweep on AlphaZero General
Hui Wang
M. Emmerich
Mike Preuss
Aske Plaat
116
16
0
19 Mar 2019
1