Torch-Agents
In early development. Inspired by TF-Agents, I hope to make a similar library for PyTorch - simple enough for me to understand, and powerful enough to express all my crazy ideas.
Currently supported: (Double) Deep Q Networks and Open AI Gym environments.
Results
DDQN Learning Pong after 13 hours (2500 games):
DDQN Learning Breakout after 16 hours (10k games):
DDQN Learning Space Invaders after 10k games:
Installation
1 maintainer
Metadata
1 maintainer
Release files for torch-agents 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| torch_agents-0.0.1.tar.gz | 14.4 kB | Without provenance | Details for torch_agents-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| torch_agents-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for torch_agents-0.0.1-py3-none-any.whl |
Total release size: 30.6 kB
Release files / torch_agents-0.0.1.tar.gz
| Download URL | torch_agents-0.0.1.tar.gz |
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| Size | 14.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.10.4
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Release files / torch_agents-0.0.1-py3-none-any.whl
| Download URL | torch_agents-0.0.1-py3-none-any.whl |
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| Size | 16.2 kB |
| Tags | Python 3 |
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twine/4.0.1 CPython/3.10.4
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