rl-tools
This is a simple toolset for reinforcement learning (RL).
Installation
from PIP
pip install rl_tools
from source
python setup.py install
Usage
As a alone script:
for example:
python -m rl_tools.plotter --save --show
- enjoy.py enjoy the trained model, and track avg, med, std, min, max reward of episodes.
- plotter.py plot learning curves for training , see rl-plotter for detail.
- scheduler.py set training scheduler for tasks.
In RL agent:
for example:
from rl_tools.evaluator import Evaluator
from rl_tools.logger import Logger
- evaluator.py evaluate model while training.
- logger.py track learning process while training (same format as OpenAI baseline).
1 maintainer
Metadata
1 maintainer
Release files for rl-tools 0.0.1
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| File | Size | Uploaded | Provenance | Actions |
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| rl_tools-0.0.1.tar.gz | 1.6 kB | Without provenance | Details for rl_tools-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| rl_tools-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for rl_tools-0.0.1-py3-none-any.whl |
Total release size: 15.7 kB
Release files / rl_tools-0.0.1.tar.gz
| Download URL | rl_tools-0.0.1.tar.gz |
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| Size | 1.6 kB |
| Tags | Source |
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Release files / rl_tools-0.0.1-py3-none-any.whl
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| Tags | Python 3 |
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