Comments (1)
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 balanced.
Adding Fairy-Stockfish as a new back-end is now less complicated as a generic state interface was recently added.
https://github.com/QueensGambit/CrazyAra/blob/master/engine/src/state.h
In addition, a few things would need to be added, such as the definition of a policy output vector and a different input representation.
https://github.com/QueensGambit/CrazyAra/blob/master/engine/src/domain/crazyhouse/constants.h#L161
We are considering what steps to take next after extending to more lichess variants.
With a PhD student, I started to integrate the pommerman, a multi-agent, non-chess environment.
https://github.com/tomatenbrei/pomcpp
https://www.pommerman.com/
In my eyes the CrazyAra project serves a different purpose than Leela-Zero, Lc0 and other Leela forks.
It is not meant to be a distributed community project with a common training server and data server infrastructure and I would currently be unable to manage this in parallel to my work at the university.
It could also lead to conflicts where multiple communities compete for computing resources of volunteers.
Instead, CrazyAra aims to have a more flexible back-end and to be an open, publication-oriented research project.
A less computational intensive starting point for janggi could be to train a neural network on human expert or engine games.
CrazyAra uses the python-chess library to prepare the training data set for this.
Janggi is not supported by python-chess, and I'm not sure if there exists a similar library for janggi.
However, I found a recently started AlphaZero project for janggi on GitHub which offers the main functionality for janggi.
from crazyara.
Related Issues (20)
- Could not install Classic Ara on Both Linux and Windows HOT 13
- 3-fold Repetition Bug
- lichess.org bot issues HOT 2
- High memory usage (original: Tree doesn't grow beyond 6 million Nodes) HOT 11
- Mistaken Evaluations by Classic Ara HOT 3
- ClassicAra does not load using the current model. HOT 2
- Crash for ClassicAra 0.9.5 with Int8 Inference
- Still Losses on Time for ClassicAra 0.9.5 HOT 1
- Not able to execute ClassicAra 0.9.5.post0 HOT 2
- Classic Ara stops working after a few moves and needs re-opening in Chessbase 16 HOT 5
- TensorRT Memory Free Error HOT 4
- Hello, can you make a Chinese chess release HOT 6
- Classic Ara 0.9.9 threads use HOT 1
- ClassicAra fails at winning five piece end-game with table bases
- About the transformer. HOT 5
- Wrong replay memory inclusion in fileio.py HOT 1
- Question about the training of the released classic ara model HOT 1
- Incorrect thesis title? HOT 1
- # Tabula Rasa Learning Approach Proposal HOT 2
- This is not an issue HOT 4
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from crazyara.