The Last-Good-Reply Policy for Monte-Carlo Go

Author:

Drake Peter

Publisher

IOS Press

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Computational Mechanics,Computer Science (miscellaneous)

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. More Trees or Larger Trees: Parallelizing Monte Carlo Tree Search;IEEE Transactions on Games;2021-09

2. Monte Carlo Tree Search with Last-Good-Reply Policy for Cognitive Optimization of Cloud-Ready Optical Networks;Journal of Network and Systems Management;2020-07-27

3. Smart DAG Task Scheduling with Efficient Pruning-Based MCTS Method;2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2019-12

4. On Monte Carlo Tree Search and Reinforcement Learning;Journal of Artificial Intelligence Research;2017-12-20

5. Adaptive playouts for online learning of policies during Monte Carlo Tree Search;Theoretical Computer Science;2016-09

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