Metadata-Version: 2.1
Name: single-cartpole-custom-gym-env
Version: 1.2.5
Summary: OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing.
Home-page: https://github.com/marek-robak/Single-cartpole-custom-gym-env-for-reinforcement-learning.git
Download-URL: https://pypi.org/project/single-cartpole-custom-gym-env/
Author: Marek Robak
Author-email: maro.robak@gmail.com
License: UNKNOWN
Keywords: reinforcement learning,gym environment,StableBaselines3,OpenAI Gym
Platform: UNKNOWN
Description-Content-Type: text/markdown

This package contains OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing. The environment is automatically registered under id: single-cartpole-custom-v0, so it can be easily used by RL agent training libraries, such as StableBaselines3.<br /><br />At the https://github.com/marek-robak/Single-cartpole-custom-gym-env-for-reinforcement-learning.git you can find a detailed description of the environment, along with a description of the package installation and sample code made to train and evaluate agents in this environment.<br /><br />This environment was created for the needs of my bachelor's thesis, available at https://www.ap.uj.edu.pl/diplomas/151837/ site.

