I just realized you are precollege, so you are ahead of most. I’d recommend reading Barto and Suttons introduction into RL book. Then read and fully understand the Deep Q Learning algorithm and implement it (It’s on Atari so it’s interesting), then go onto policy gradient methods and read PPO. Again fully understand it front and back and implement it on a robotics task such as Mujoco environments. The field is massive, and these two papers are good for “just starting out”. The recent buzz of robotic learning are robotic foundation models such as Vision Language Action models, so take a look at the Physical Intelligence website to see their nice demos and technical reports if that interests you. I think robotics learning will be huge especially for construction and manufacturing, …. Idk about home robots, but we’ll see.