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Robot Learning (RoLe) Summary

Summary
2021-03-30

Author: Fabian Damken


This document contains a summary of the material of the lecture “Statistical Machine Learning” (Prof. Peters) at the TU Darmstadt.

Disclaimer: The correctness of the provided content is not set. The risk is taken by the user.


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For known issues and the reporting of issues, please refer to this page.

Changes

  • Version 1
    • Initial version.
    • Includes:
      • Robotics
      • Discrete/Continuous Optimal Control
      • Discrete/Continuous Approximate Optimal Control
      • Model Learning
      • Policy Representations
      • Model-Based Reinforcement Learning
      • Policy Gradient Methods
      • Value Function Methods
      • Probabilistic Policy Search
      • Imitation Learning
      • Bayesian Reinforcement Learning

Files

role_summary-v01.pdf (1.37 MB) role_summary-v01.pdf Robot Learning Summary Version 1 Fabian Damken, 2021-03-30 19:48
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