Johannes Czech

I was able to link the binary to `cudnn_cnn_infer64_8.dll` but this didn't seem to help unfortunately. Also adding certain optimization options such as [/O2 (Maximize Speed)](https://docs.microsoft.com/en-us/cpp/build/reference/o1-o2-minimize-size-maximize-speed?view=msvc-160), [/GL (Whole program optimization)](https://docs.microsoft.com/en-us/cpp/build/reference/gl-whole-program-optimization?view=msvc-160),...

Hello @fjscabral , thank you for your motivating words. > I downloaded Crazyara 0.7 and it shows up crazyhouse plus giveaway chess in the UCI_Variant options, and since I saw...

My master thesis is now available on the website of the Machine Learning Lab, TU Darmstadt: * https://ml-research.github.io/papers/czech2019deep.pdf

Hello @CPagador , you can set `Threads` `Child_Threads` and `Threads_NN_Inference` to 1. Then it will only use 1 thread for the search. The UCI communication is currently written asynchronously and...

Thank you for the proposal. There is currently no plan to support distributed training or self-play game generation on different machines but I will discuss this idea with my group....

Adding 960 support isn't too difficult for this project because move generating routines and the position representation has been integrated from [_Multi-Variant Stockfish_](https://github.com/ddugovic/Stockfish). Therefore the MCTS back-end is currently limited...

Hello @KDKOA and thank you for suggestion. I'm not that familiar with Asian chess variants but e.g. shogi appeals to me because it shares similarities with crazyhouse and is more...

Hello @magicianofriga , nice to hear that you like this project. Yes, it is possible allocate more than 6 million nodes and you are right with the assumption that you...

Sure, creating a new issue which summarizes problematic positions for _ClassicAra_ can help fixing search problems. You can follow a similar structure as in: * https://github.com/LeelaChessZero/lc0/issues/164 One common way to...

Hello again @magicianofriga ! One way to start is to use the setup with the nvidia docker container. * https://github.com/QueensGambit/CrazyAra/tree/master/DeepCrazyhouse/src/training#start-training-from-a-docker-container However, this requires using linux. Alternatively, you may install the...