投稿

深度强化学习训练营（2017）

1.2万

10

2017-10-20 22:30:50

https://sites.google.com/view/deep-rl-bootcamp/lectures “Deep RL Bootcamp - 26-27 August 2017 | Berkeley CA”

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AI agent的死循环？还是千问打破僵局？

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Lecture 1 - Motivation + Overview + Exact Solution Methods

56:31

Lecture 2 - Sampling-based Approximations and Function Fitting

49:50

Lecture 3 - Deep Q-Networks

01:03:07

Lecture 4A - Policy Gradients

53:55

Lecture 4B Policy Gradients Revisited

34:55

Lecture 5 - Natural Policy Gradients, TRPO, PPO

41:00

Lecture 6 - Nuts and Bolts of Deep RL Experimentation

44:45

Lecture 7 SVG, DDPG, and Stochastic Computation Graphs (John Schulman)

01:11:14

Lecture 8 Derivative Free Methods

54:32

Lecture 9 Model-based Reinforcement Learning

01:03:29

Lecture 10A Utlities

23:43

Lecture 10B Inverse Reinforcement Learning

41:07

Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL

01:04:29

Frontiers Lecture II - Recent Advances, Frontiers and Future of Deep RL

01:04:29

TAs Research Overview

29:08

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