Reinforcement Learning with a Pick and Place Robotic Arm
hlfshell.ai
tldr I created a custom robotic arm environment where the arm is rewarded if it sorts shapes a certain way, and then punished if it knocks them off a table. I used OpenAI’s PPO method to be somewhat successful. If you want to skip to the code, go here. The why Reinforcement learning is a topic that’s endlessly fascinating to me. I had great success working through Deep Reinforcement Learning in Action, creating a generic Deep Q solver for several classic OpenAI gym environments.

In my first attempt at a long form technical post, I talk about a project where I had to use deep reinforcement learning to try and solve a robotics application. It worked ok - the post talks about my struggles, solutions, and what I’d change up in the future.

  • ruffsl@programming.devMEnglish
    2·
    11 months ago

    Did you mean to include a URL in the OP post to link us to your longer (blog?) post? Currently the OP post is just an image. You can edit it to add the link in the URL field.

    • hlfshell@programming.devOP
      3·
      11 months ago

      Ah - I thought the image was in addition to the URL, when it overwrote it? Consider me embarrassed and a lemmy newb on this one. Fixed for now.