딥러닝1 Stanford CS234 Lecture 9 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 9 Continuing discussion about gradient descent, recall that our goal is to converge ASAP to a local optima. We want our policy update to be a monotonic improvement. → guarantees to converge (emphirical) → we simply don’t want to get fired... Recall last time, we expressed gradient of value function as below this term is unbiased but .. 2022. 8. 11. 이전 1 다음 반응형