Jeremy reflects on the overlooked optimization literature within the reinforcement learning (RL) community, emphasizing the need for a more nuanced approach to long-term credit assignment. He highlights a recent conversation with Sergey about a promising RL technique that significantly improves training efficiency. While acknowledging the potential of RL in robotics, he expresses skepticism about its application in medical problems, questioning the appropriateness of its use in that field.
