MIT Introduction to Deep Learning : Lecture 5
Deep Reinforcement Learning
Lecturer: Alexander Amini
January 2020
For all lectures, slides, and lab materials:
Lecture Outline
0:00 - Introduction
2:47 - Classes of learning problems
4:59 - Definitions
9:23 - The Q function
13:18 - Deeper into the Q function
17:17 - Deep Q Networks
21:44 - Atari results and limitations
24:13 - Policy learning algorithms
27:36 - Discrete vs continuous actions
30:11 - Training policy gradients
36:04 - RL in real life
37:40 - VISTA simulator
38:55 - AlphaGo and AlphaZero
42:51 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
9 views
80
11
2 weeks ago 00:37:14 1
15 Jahre Stille: Das Erbe eines ehemaligen Heims für Kriegsopfer und Asylanten! #lostplace #urbex
3 weeks ago 00:19:25 1
Amnesie - Warum wissen wir nicht, woher wir kommen und wer wir sind? - Steffen Padberg
4 weeks ago 00:04:27 1
Helene Fischer, Andrea Bocelli - The Prayer (Live - Die Helene Fischer Show )