This gymnasium compatible environment implements a realistic Cartpole simulation of the Quanser IP-02 Inverted Pendulum hardware.
Place the env_config.gin inside your working directory.
Call pip install -e /relative_path_to_cartpole_realistic_dir inside your working director.
To use the environment within python, you only need three lines of code:
import cartpole_realistic
import tf_agents
env = tf_agents.environments.suite_gym.load('cartpole-realistic')
@inproceedings{bantel2024high,
title={High-Fidelity Simulation of a Cartpole for Sim-to-Real Deep Reinforcement Learning},
author={Bantel, Linus and Domanski, Peter and Pfl{\"u}ger, Dirk},
booktitle={2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)},
pages={1--6},
year={2024},
organization={IEEE}
}
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