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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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https://en.wikipedia.org/wiki/Monte_Carlo_tree_search
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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:/…
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Programe una IA general basada en [Monte Carlo Tree Search](https://en.wikipedia.org/wiki/Monte_Carlo_tree_search#Principle_of_operation) que explore el árbol de posibilidades para tomar una decisión.…
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Check this implementation: https://medium.com/towards-data-science/deep-reinforcement-learning-and-monte-carlo-tree-search-with-connect-4-ba22a4713e7a
Create the following:
- [ ] Base class for MTC…
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According to the paper `Parallel Monte-Carlo Tree Search`, it seems like root parallelization is promising.
May be integrating it into our code can be good
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Since a lot of people are working on tuning FPU at the moment and some people are exploring tweaks to the search algorithm I wanted to share a few areas of research I was looking over this evening, in…
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Smooth UCB:
[Self-Play Monte-Carlo Tree Search in Computer Poker]
https://pdfs.semanticscholar.org/7b68/7599b4425aa959036071030e1212a3b359c7.pdf
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We don't need to make the Monte Carlo Search Tree object live inside of the trainer. It can exist as a local inside `execute_episode()`.
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Antoni persuaded us that Monte Carlo Tree Search will be the way to go with this problem. Under this issue the basis of it will be created.