Temporal-difference search in Computer Go

DOI10.1007/s10994-012-5280-0zbMath1238.91044OpenAlexW2153039919MaRDI QIDQ420936

J. Herrera, H. S. Yoon

Publication date: 23 May 2012

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-012-5280-0

zbMATH Keywords

reinforcement learningComputer GoMonte Carlo searchsimulation based searchtemporal-difference learning

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Markov and semi-Markov decision processes (90C40) Computational methods for problems pertaining to game theory, economics, and finance (91-08) Combinatorial games (91A46)

Related Items (2)

Simulation-based search ⋮ Default policies for global optimisation of noisy functions with severe noise

Cites Work

• Unnamed Item
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• Analytical mean squared error curves for temporal difference learning
• Convergence results for single-step on-policy reinforcement-learning algorithms
• Learning to play chess using temporal differences
• 10.1162/153244303768966102
• Amazons Discover Monte-Carlo
• An Analysis of UCT in Multi-player Games
• Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
• Computer Go
• Finite-time analysis of the multiarmed bandit problem

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