
In the ever-evolving field of artificial intelligence (AI), training systems for complex environments have always been a major challenge. Addressing this dilemma, scientists at the University of California, Berkeley have developed a groundbreaking machine learning method called “Reinforcement Learning via Intervention Feedback” (RLIF). By merging reinforcement learning with interactive imitation learning, two crucial techniques in AI training, RLIF aims to










