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» Loss-Calibrated Monte Carlo Action Selection
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AAAI
2012
11 years 7 months ago
Generalized Monte-Carlo Tree Search Extensions for General Game Playing
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Monte-Carlo Tree Search (MCTS) has proven an effective reasoning mechanism for thi...
Hilmar Finnsson
CG
2008
Springer
13 years 6 months ago
Monte-Carlo Tree Search Solver
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In this article we investigate the application of MCTS for the game Lines of Action (L...
Mark H. M. Winands, Yngvi Björnsson, Jahn-Tak...
ACG
2009
Springer
13 years 11 months ago
Evaluation Function Based Monte-Carlo LOA
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In the game of Lines of Action (LOA), which has been dominated in the past by αβ, M...
Mark H. M. Winands, Yngvi Björnsson
BMCBI
2011
12 years 11 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
ICML
2000
IEEE
14 years 5 months ago
Eligibility Traces for Off-Policy Policy Evaluation
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
Doina Precup, Richard S. Sutton, Satinder P. Singh