Reinforcement Learning for Robotics

Learn the main reinforcement learning techniques and algorithms.


Advanced Robot Programming with AI
16 hours
2 robots used
0% completed

Course overview

The course will give you the state-of-the-art opportunity to be familiar with the general concept of reinforcement learning and to deploy theory into practice by running coding exercises and simulations in ROS.

What You Will Learn

  • The reinforcement learning problem, Multi-armed bandit problem, State-Value and Action-Value functions, Markov Decision Processes, and Bellman Equation
  • Dynamic programming
  • Monte Carlo methods
  • Temporal-difference methods

Course Summary

User Ratings

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Ömer Faruk BAŞOĞLU
Rated 4 stars out of 5
4.0
18/11/2022, 13:10:28
Muhammad Fat-hi
Rated 4 stars out of 5
4.0
5/11/2022, 08:13:55
Bladimir Bacca Cortes
Rated 4 stars out of 5
4.0
13/10/2022, 14:37:45
Daniel Adebi
Rated 4 stars out of 5
4.0
Section 4 code gives syntax errors
10/9/2022, 15:42:55

Showing page 1 of 1. Total records: 4.

This course is part of this learning path:
Machine Learning for Robots

Course Creators

Markus Buchholz