머신러닝1 Stanford CS234 Lecture 7 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 Imitation Learning there are occasions where rewards are dense in time or each iteration is super expensive → autonomous driving kind of stuff So we summon an expert to demonstrate trajectories Our problem Setup we will talk about three methods below and their goal are... Behavoiral Cloning : learn directly from teacher’s policy In.. 2022. 8. 9. 이전 1 다음 반응형
