Researchers have combined deep reinforcement learning and imitation learning to create a more efficient and effective way for robots to learn human-like movements. This approach overcomes the limitations of each individual method and allows for more flexibility and adaptability in unknown or challenging environments.
Previous ArticleHow To Successfully Integrate Data In A Hybrid Environment
Next Article Who Understands Alignment Anyway