turhancan97 / RL-based-Control-of-a-Soft-Continuum-Robot

Simulation based Soft Continuum Robot Control via Reinforcement Learning
MIT License
30 stars 6 forks source link

Nice job #2

Closed york-yan closed 1 year ago

york-yan commented 1 year ago

Well done, I'm new to continuum robotics and also to reinforcement learning, but I want to replicate your work, what other environments do I need to use this code? Linux or Windows? What tools do I need to use? Do you have some suggestions? Thank you very much again for your inspiring work

turhancan97 commented 1 year ago

Thank you for your kind words! I tested the code for both Windows and MacOS.

Here are a few suggestions to assist you:

  1. Familiarize yourself with the basics of continuum robotics and reinforcement learning. It would be beneficial to study relevant research papers and online tutorials to grasp the underlying concepts.
    • To gain a better understanding of continuum robotics kinematics, read the paper on this link.
    • Try to learn basic RL algorithms first such as Q-Learnin and SARSA
  2. Check Reinforcement Learning Libraries: To implement reinforcement learning, you will need libraries such as TensorFlow, PyTorch, or OpenAI Gym. These libraries offer tools and algorithms to develop and train reinforcement learning models.
  3. Explore existing open-source projects related to continuum robotics and reinforcement learning. These projects often provide code examples and documentation that can help you understand the implementation details.

Feel free to ask specific questions if you need further assistance. Good luck with your endeavors!

york-yan commented 1 year ago

-------自动回复 ------ 您好,来信已收到,我会尽快处理。祝工作顺利!

york-yan commented 1 year ago

Thank you for the advice. I've been busy with other work lately, so I'm late to reply. I will carefully review your recommendation, and if I encounter problems in the future, I will ask you for advice, and thank you again for your enthusiastic reply