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AILiga

Documentation Status

Goals

  • Monthly releases of session/tournament results
  • User folders
  • Strict versioning for reproducibility (ocne a version is pushed, gitignore it)

Installation

git clone THIS_PROJECT_URL
poerty install
poetry shell

Testing and Training

Currently, training/testing fighters works through the fighter tests.

python tests/test_dqn_fighter.py

Tensorboard

tensorboard --logdir log/ --load_fast=false

Limitations

Currently, the implementation through tianshou.BasePolicy seems to only support DQNPolicy and also not Discrete() observation spaces.

References

Frameworks

Books

Development

We use black through

package/python structure:

Metadata

Release files for ailiga 2023.1

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Source distribution (sdist)

Source distribution for ailiga 2023.1
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ailiga-2023.1.tar.gz 15.3 MB Details

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Table of built distributions (wheels) for ailiga 2023.1
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ailiga-2023.1-py3-none-any.whl Python 3 none any Details

Total release size: 30.6 MB

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Size 15.3 MB
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This release

2023.1 This release

2 release files

0.1.0

2 release files

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