Deep Reinforcement Learning and Control

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

414 students enrolled

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.

Lecture 13: Lecture 13 Asynchronous RL

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