An Efficient Dynamic Sampling Policy for Monte Carlo Tree Search
Author:
Affiliation:
1. Guanghua School of Management, Peking University,Beijing,P. R. CHINA,100871
2. Beijing Jiaotong University,Department of Computer Science,Beijing,P. R. CHINA,100044
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015374.pdf?arnumber=10015374
Reference20 articles.
1. An Optimal Computing Budget Allocation Tree Policy for Monte Carlo Tree Search
2. Sample-Based Planning for Continuous Action Markov Decision Processes
3. Ranking and Selection as Stochastic Control
4. Ranking and Selection
5. Simple Bayesian Algorithms for Best-Arm Identification
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