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Times are the number of seconds per game, averaged over 10 games, on Mark's new PC.
12 Jan 2020 (5e2f9f44049538b6f2bde91497b2c41aeae5f82a):
Minimax, depth 2, Basic heuristic: avg. time 0.22
Min…
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Instead of MCTS returning one action at a time, it could predict the next sequence of actions up until a random element is introduced, such as:
1. Monsters change intents
2. Card has random effect
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## Motivation
It would be great to have an MCTS and Alphazero implementation, including other model-based RL for benchmarking and comparison.
## Solution
I can write a loss function of this po…
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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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Hey there,
I also use mcts to predict good actions. However in my case (multi player card game) it is very expensive to look ahead very far. For this reason I want to ask you if you know if there is …
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#91 を参照 (やっつけ試作あり).
この試作は, lz-analyze に以下の細工をしたもの.
* 探索が進むたびに, 探索した系列を「最善応手系列」と詐称して出力
* 適当に sleep をはさみながら途中経過を出力することで, 一手ずつ打っているようにアニメーション
GUI 側の対応が不要なのが利点 (Lizzie, LizzieYzy, LizGoban の「サブ碁…
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# Tic-Tac-Toe with MCTS
Simple implementation of MCTS for tic-tac-toe in Python
[https://nestedsoftware.com/2019/08/07/tic-tac-toe-with-mcts-2h5k.152104.html](https://nestedsoftware.com/2019/08/07/t…
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Implementation of the blocking MCTS algorithm in gmds. Integrate in the rlBLocking folder.
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MCTS statistics are far from perfect under two circumstances:
1) When transition occur, because the child node can have been sampled far more than the number of times expected relative to a particular…