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Framework for running and benchmarking game AIs such as AlphaZero, AlphaGo and more.
Investigate how MCTS can be used to train an agent to learn chess (and other games) through the game engine.
Start implementing basic MCTS (UCT for selection, uniform randomness for rollout, ...)
The current interface was designed for debuggin purposes only.
As it works quite well, we will keep the way it works but it needs to be implemented in an orderly manner.
It is also laid out for a) chess b) 8x8 fields. We need to make that scalable to other board sizes as well as other games.
The game engine is currently not very efficient especially in terms of move generation. Investigate methods to improve the game engine and implement those methods if found.
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