【公开课】Deep RL Bootcamp深度强化学习训练营（伯克利）（无字幕）
搬运自https://youtu.be/qaMdN6LS9rA
由加州大学伯克利分校的Pieter Abbeel教授、他的两位博士生Yan（Rocky） Duan、Xi（Peter） Chen、以及现任特斯拉的人工智能和Autopilot视觉总监Andrej Karpathy共同发起的一个两日深度强化学习训练营。还有Deepmind和OpenAI的客座讲师
视频选集
（13/15）
Deep RL Bootcamp Lecture 1- Motivation + Overview + Exact Solution Methods
56:31
Deep RL Bootcamp Lecture 2- Sampling-based Approximations and Function Fitting
49:50
Deep RL Bootcamp Lecture 3- Deep Q-Networks
01:03:07
Deep RL Bootcamp Lecture 4A- Policy Gradients
53:55
Deep RL Bootcamp Lecture 4B Policy Gradients Revisited
34:55
Deep RL Bootcamp Lecture 5- Natural Policy Gradients, TRPO, PPO
41:00
Deep RL Bootcamp Lecture 6- Nuts and Bolts of Deep RL Experimentation
44:45
01:11:14
Deep RL Bootcamp Lecture 8 Derivative Free Methods
54:32
Deep RL Bootcamp Lecture 9 Model-based Reinforcement Learning
01:03:29
Deep RL Bootcamp Lecture 10A Utlities
23:43
Deep RL Bootcamp Lecture 10B Inverse Reinforcement Learning
41:07
FrontiersLectureI
01:04:29
Frontiers Lecture II- Recent Advances, Frontiers and Future of Deep RL
01:04:29
Deep RL Bootcamp TAs Research Overview
29:08
顶部