Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

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Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

• Author: Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang
• Origin: https://papers.nips.cc/paper/5421-deep-learning-for-real-time-atari-game-play-using-offline-monte-carlo-tree-search-planning
• Related:
  • https://sites.google.com/site/nips2014atari/#TOC-Method-1:-UCTtoRegression-for-UCT-to-CNN-via-Regression-
  • https://github.com/XiaoxiaoGuo/atari_uct
  • https://github.com/tobegit3hub/ml_implementation/tree/master/monte_carlo_tree_search
  • https://gist.github.com/blole/dfebbec182e6b72ec16b66cc7e331110
  • Monte Carlo Tree Search and AlphaGo http://www.yisongyue.com/courses/cs159/lectures/MCTS.pdf

MCTS

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A Survey of Monte Carlo Tree Search Methods http://mcts.ai/pubs/mcts-survey-master.pdf

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Monte Carlo Tree Search and AlphaGo http://www.yisongyue.com/courses/cs159/lectures/MCTS.pdf