Metadata-Version: 2.1
Name: rockrl
Version: 0.0.1
Summary: Reinformcement Learning library
Home-page: https://pylessons.com/
Author: PyLessons
Author-email: pythonlessons0@gmail.com
License: UNKNOWN
Project-URL: Source, https://github.com/pythonlessons/RockRL/
Project-URL: Tracker, https://github.com/pythonlessons/RockRL/issues
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE

# RockRL
Reinforcement Learning library for public, for now, it only supports TensorFlow.

# Installation
```bash
pip install RockRL
```

# Supported Algorithms
- [x] PPO (Discrete and Continuous)

# Examples
## Proximal Policy Optimization (PPO):
- ```RockRL/tensorflow/examples/ppo/LunarLander-v2/LunarLander-v2.py``` is an example of using PPO to solve LunarLander-v2 (Discrete) environment.
- ```RockRL/tensorflow/examples/ppo/BipedalWalker-v3/BipedalWalker-v3.py``` is an example of using PPO to solve BipedalWalker-v2 (Continuous) environment.
- ```RockRL/tensorflow/examples/ppo/BipedalWalkerHardcore-v3/BipedalWalkerHardcore-v3.py``` is an example of using PPO to solve BipedalWalker-v3 Hardcore (Continuous) environment.


