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Deep Reinforcement Learning and Control

Carnegie Mellon University,, Fall 2018 , Prof. Katerina Fragkiadaki

Overview

  • Goals of this course is to implement and experiment with existing algorithms for learning control policies guided by reinforcement, demonstrations and intrinsic curiosity. Evaluate the sample complexity, generalization and generality of these algorithms. Be able to understand research papers in the field of robotic learning.

Includes

Lecture 1: Lecture 01 Introduction

4.1 ( 11 )


Lecture Details

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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