Advancements in Dexterous Robotics: From Imitation to Reinforcement Learning

This chapter explores the evolution of robotic learning methods, focusing on the shift from imitation to reinforcement learning for advanced manipulation by humanoid robots. The discussion includes the importance of human involvement, hardware advancements, and innovative strategies for reward engineering and parameter tuning.