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» Heuristics in Monte Carlo Go
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AIPS
2006
13 years 8 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
CG
2008
Springer
13 years 9 months ago
Parallel Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the field of Computer Go. Parallelizing MCTS is an important way to increase the stren...
Guillaume Chaslot, Mark H. M. Winands, H. Jaap van...
CG
2010
Springer
13 years 5 months ago
Biasing Monte-Carlo Simulations through RAVE Values
Abstract. The Monte-Carlo Tree Search algorithm has been successfully applied in various domains. However, its performance heavily depends on the Monte-Carlo part. In this paper, w...
Arpad Rimmel, Fabien Teytaud, Olivier Teytaud
ACG
2009
Springer
14 years 2 months ago
Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search
Abstract. We present a new exploration term, more efficient than classical UCT-like exploration terms. It combines efficiently expert rules, patterns extracted from datasets, All-M...
Guillaume Chaslot, Christophe Fiter, Jean-Baptiste...
EUROGP
2010
Springer
330views Optimization» more  EUROGP 2010»
14 years 1 months ago
Bandit-Based Genetic Programming
We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical prope...
Jean-Baptiste Hoock, Olivier Teytaud