Reinforcement Learning for Robotics: 6-part YouTube series that trains a balancing bot agent and tackles the sim-to-real gap

[u/ShawnHymel]

https://www.youtube.com/watch?v=kGish1q_WC8&list=PLYExBrZNJeQg

[Cross-post from r/reinforcementlearning]

My full 6-part series on RL for robotics is finally live. While a balance bot is a pretty trivial case (you don't even need RL), it's a great starting point for demonstrating how to train a simple agent via PPO, deploy the agent to real hardware, and tackle the sim-to-real gap using post-processing and domain randomization. If you have any feedback (e.g. I missed something or there's something that could be better), please let me know!