Re:Ask HN: What are the most fun-to-play-with open source de...
by tlack on Monday October 05, 2020 @07:38PM
(#24693277)
I've been playing with reinforcement learning on simulated robots, using OpenAI Gym[0] and PyBullet[1].
I find it interesting because, in theory, the learned policies transfer to real-world robots, and the time is nigh for development in that area. Plus you get to watch it do funky robot shit and slowly get better.
If you want a quick way to dive in, I have a repo[2] I've
been using to train on a variety of PCs and Google Colab[3]. The task is a Panda robot pushing a randomly
placed object. I had some trouble getting it all working with recent Keras at first, so my repo might save you time.
I find it interesting because, in theory, the learned policies transfer to real-world robots, and the time is nigh for development in that area. Plus you get to watch it do funky robot shit and slowly get better.
If you want a quick way to dive in, I have a repo[2] I've been using to train on a variety of PCs and Google Colab[3]. The task is a Panda robot pushing a randomly placed object. I had some trouble getting it all working with recent Keras at first, so my repo might save you time.
Email me[4] if you get stuck.
[0] https://gym.openai.com/
[1] https://pybullet.org/
[2] https://github.com/tlack/rl-experiments
[3] https://colab.research.google.com/drive/1HGmKMGwW_emok157ENr...
[4] [email protected]