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参考 https://zhiqianghe.blog.csdn.net/article/details/103985855
蒙特卡洛树搜索大概的思想就是给定一个游戏状态,去选择一个最佳的策略/动作。
我们希望找到的就是最佳策略(the most promising next move)。如果你知道对手的策略那你可以争对这个策略求解,但是大多数情况下是不知道对手的策略的,所以我们需要用min…
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Monte Carlo Tree Search has proven to be very successful in exploring space with combinatorial structures and has recently been applied in the CP setting. We should try to implement this in SeaPearl, …
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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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I am not an expert in mcts at all, but I have been playing around with your code and I noticed that in the learn method the mcts is reset after every single episode. Meaning the mcts is reset after ev…
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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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The current batch only among multiple games, not one search batched. for example , if one search use 400 simulations, thoese 400 simulations will run one by one, not bacthed.
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Great work!
I commented all the push_to_hub in the code. Is synthetic_data_llama-3-8b-instruct-sppo-iter3_score dataset generated by PairRM?
[rank4]: Traceback (most recent call last):
[rank4]:…
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Thanks for your excellent work and open souring the code.
I encountered one issue when trying to compile the GPU MCTS.
![image](https://user-images.githubusercontent.com/10766902/165353568-7b8a75c7-…
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MCTS will allow the agent to "playout" a game from the current state to generate a distribution over action-values. This will be used to generate a policy: state -> action.
- Will need to be able t…
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I was trying to do some benchmarking for the upcoming CompressedBeliefMDPs.jl package and ran into some trouble when trying to use [POMDPs.value](https://juliapomdp.github.io/POMDPs.jl/latest/api/#POM…