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rparak / PyBullet_Industrial_Robotics_Gym

The project focuses on motion planning for a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space.
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using with other reinforcement framework #1

Open ChenyangRan opened 1 month ago

ChenyangRan commented 1 month ago

Hi, thanks for your working. I would like to ues the ur3 model to create my gym env and train with other RL framework instaed of stable-baselines3. How should I go about modifying to achieve my goals?

rparak commented 1 month ago

Hi @ChenyangRan,

The model is trained in the designated "Training" folder, where examples for training each method are provided. You should modify the part of the script containing the "stable_baselines3" library if you want to use your own solution or another library.

../Training/

If you wish to customize the environment to your specific requirements, the necessary information can be found in the "Configuration" folder, which is part of the PyBullet simulation module.

../PyBullet/Configuration/Environment.py

I hope everything is clear, if not, please contact me at: Roman.Parak@outlook.com

Have a great day.