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).
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