drlgeb
A sample DRL lib use tf.keras and gym. Just writing ...
Now just implement the batch a3c, other algorithms will be updated in the future.
Requirement
- Linux/windows/osx
- python3.8
- tensorflow2.4
- gym[atari]
- numpy
Installation
pip install drlgeb
Get start
A3C
from drlgeb.ac import A3C
env_id = "SpaceInvaders-v0"
agent = A3C(env_id=env_id)
# train
agent.learn()
# test
model_path = "..."
agent.play(episodes=5, model_path=model_path)
1 maintainer
Release files for drlgeb 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| drlgeb-0.0.1.tar.gz | 13.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| drlgeb-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.7 kB
Release files / drlgeb-0.0.1.tar.gz
| Download URL | drlgeb-0.0.1.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / drlgeb-0.0.1-py3-none-any.whl
| Download URL | drlgeb-0.0.1-py3-none-any.whl |
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| Size | 18.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
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