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License: BSD 2-Clause "Simplified" License
Code for my bachelor thesis "Using Monte Carlo tree search and machine learning to learn a heuristic function"
License: BSD 2-Clause "Simplified" License
Close client's and server's websocket after games are over or one player leaves/crashes.
Find a better way to select nodes to be expanded in sample generation (MCTS).
pathFromStart
should be reset when a state is revisited.
Add cells that are not part of any virtual connection to a list of occupied rows/columns
For now, MCTS uses a limited number of iterations. Change that in a way that will use time limit.
Imports in files are of from "github.com/RdecKa/mcts/hex"
. It should be "github.com/RdecKa/bachleor-thesis/mcts/hex"
.
Make page /test where testing can be set up (players, number of games, board sizes, time limits ...)
Make sure that bigger AB search trees can be shown in a browser without running out of RAM.
Check DTC on boards of odd size.
Create separate folders for MCTS results on different board sizes to make selecting board size easier (no need to run MCTS again or move files around).
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