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Long term research task to implement MCTS.
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# 蒙特卡洛树搜索(MCTS)学习笔记 - ouuan的博客
蒙特卡洛树搜索(英语:Monte Carlo tree search;简称:MCTS)是一种用于某些决策过程的启发式搜索算法,最引人注目的是在游戏中的使用。一个主要例子是电脑围棋程序,它也用于其他棋盘游戏、即时电子游戏以及不确定性游戏。
[https://ouuan.github.io/post/monte-carlo-tree-…
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One can implement MCTS based on the value model to improve model performance. This is not intended to be used during data generation due to the high cost of computation.
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Good Day,
about the MCTS implementation, I am actually hard stuck and do not know what to do (even with the pseudocode provided).
Question 1 :
Do you have any suggestions to find any references …
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### Describe the issue
My Computer has 6 physical cores.
If I set Threads=1, MCTS box active, MCTSThreads=5, then it seems that ShashChess is simply running the alpha-beta search with 1 thread, I …
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將樹狀結構改善成 DAG (有向無環),期望將重複計算部分充分利用,而非每一次都新增出新的節點。預計會需要做到以下幾點:
- 需要做一個 `map nodeRoad;`,這也許會降低搜尋次數。
- 改善 UCT (UCB for tree search) 的計算,嘗試加入根號之後的數值。
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> The combination of Monte-Carlo tree search
(MCTS) with deep reinforcement learning has
led to significant advances in artificial intelligence. However, AlphaZero, the current stateof-the-art MCTS …
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I saw this [post on reddit](https://www.reddit.com/r/MachineLearning/comments/hrzooh/r_montecarlo_tree_search_as_regularized_policy/) and thought this might be of interest here. [Paper](https://proce…