COMPSCI 188 – 2018-09-27 – Reinforcement Learning Part 2/2

COMPSCI 188, LEC 001 – Fall 2018
COMPSCI 188, LEC 001 – Pieter Abbeel, Daniel Klein
Copyright @2018 UC Regents; all rights reserved

“Slides (from 2018): https://inst.eecs.berkeley.edu/~cs188/fa18
Latest website: https://inst.eecs.berkeley.edu/~cs188
More resources: http://ai.berkeley.edu

00:00 Setup [no content] 02:00 Announcements [outdated] 04:20 Review: RL
08:21 Review: Q-Learning
16:57 Exploration vs. Exploitation, Epsilon Greedy
22:19 Exploration Functions
30:59 Regret
32:55 Generalizing Across States
38:07 Feature-Based Representations
41:31 Break [no content] 45:58 Approximate Q-Learning
51:44 Example: Approximate Q-Learning
55:33 Q-Learning and Least Squares
1:05:46 Policy Search
1:08:30 Example: Helicopter
1:13:43 More RL Applications
1:20:08 End [no content]”