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CrazyAra & ClassicAra 0.9.0


v.0.9.0
This release replaces MCTS with MCGS as the new default and is the first release with standard chess support.
The provided model for chess has been trained supervised on the free KingBase Lite 2019 data set without reinforcement learning so far.

The displayed nps is now considereably lower, because now only the actual nodes in the tree are displayed.

Terminal visits and transposition visits do not count as nodes anymore.

By using MCGS, the required memory allocation has been reduced for a given movetime.

New Variant
Standard chess: A neural network and binary is provided for standard chess.
The executable is called ClassicAra.

Environment Backend
The CrazyAra project now supports a general back-end which allows a better integration to new environments.

An environment is used for move-generation and terminal condition checks.


CrazyAra&ClassicAra 0.9.0_Win_MKL download

CrazyAra&ClassicAra 0.9.0_Win_TensorRT download






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