https://github.com/aqtech-ca/mcts4py
mctreesearch4j implementation on Python
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.1%) to scientific vocabulary
Repository
mctreesearch4j implementation on Python
Basic Info
- Host: GitHub
- Owner: aqtech-ca
- Language: Python
- Default Branch: main
- Size: 125 KB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 4
- Open Issues: 4
- Releases: 0
Metadata Files
Readme.md
MCTS library in Python
Requirements
- Python 3.9+
Samples
To run samples:
- run pip install -e . in the root directory
- run python main.py in the sample directory
To install from PyPI,
python3 -m pip install --index-url https://test.pypi.org/simple/ mcts4py
Running the MENTSsolver vs UCTsolver Comparison in Gym Environments
Install Requirements:
python3 -m pip install .
python3 -m pip install ".[gym_samples]"
Set the Python Path:
export PYTHONPATH=/path/to/mcts4py:$PYTHONPATH
Run the Comparisons:
- CartPole: python3 samples/gym/cartPole/CartPole.py
- Frozen Lake: python3 samples/gym/frozenLake/FrozenLake.py
The explorationconstant can be adjusted directly in the evaluatesolver method located in the respective scripts.
Owner
- Name: aqtech-ca
- Login: aqtech-ca
- Kind: organization
- Repositories: 2
- Profile: https://github.com/aqtech-ca
GitHub Events
Total
- Push event: 12
- Pull request event: 1
- Pull request review comment event: 4
- Pull request review event: 6
- Create event: 2
Last Year
- Push event: 12
- Pull request event: 1
- Pull request review comment event: 4
- Pull request review event: 6
- Create event: 2
Dependencies
- numpy ==1.23.2