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1
Intro
2
Supervised Learning
3
Inverse RL
4
Combat Applications
5
General Approach
6
Feature Matching
7
Feature Expectations
8
Maximizing the Margin
9
Optimization Problem
10
Future Expectations
11
Implementation
12
Nonlinear Reward
13
Inducing a Policy
14
Demo
Description:
Explore inverse reinforcement learning in this 38-minute lecture from Pascal Poupart's CS885 course at the University of Waterloo. Delve into topics such as supervised learning, combat applications, feature matching, maximizing margins, and optimization problems. Learn about nonlinear rewards, policy induction, and witness a practical demonstration. Access accompanying slides on the course website for enhanced understanding of this advanced machine learning concept.

Inverse RL

Pascal Poupart
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