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Courses in winter term 2017 / Lecture Planning and Optimal Control

The lecture will discuss main topics from Planning and optimal control theory. The topics discussed will be:

1. Discrete and Heuristic Search

2. Motion Planning

3. Dealing with dynamics and Stochastic Optimal Control

4. Reinforcement Learning

textbooks:

  1. H. Geffner, B. Bonet (2013): A Concise Introduction to Models and Methods for Automated Planning.
  2. D. Nau, M. Ghallab, P. Traverso (2004): Automated Planning: Theory and Practice.
  3. H. Choset, K. M. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L. E. Kavraki and S. Thrun.(2005): Principles of Robot Motion: Theory, Algorithms, and Implementations.
  4. Steve LaValle (2006): Planning Algorithms.
  5. Dimitri P. Bertsekas (2007): Dynamic Programming and Optimal Control,3rd ed. Vols. I and II.
  6. Richard S. Sutton and Andrew G. Barto. (1998): Reinforcement Learning: An Introduction.

Lecturer: Prof. Dr. Dr. Lars Schmidt-Thieme
Trainer:
 
Lecture:
Time: Tue 10-12
Location: H 2
Begin: 24.10.2017
Assignment: Data Analytics & MSc WI & IMIT & DA
 
Tutorial:
Time: Thu 08-10 or Fri 12-14
Location: B 025 or B 026
Begin: 26.10.2017 or 27.10.2017
 
Exam:
Date:
Location:
Begin:
Length: 120 min
 
Exam retake:
Date:
Location:
Begin:
Length: 120 min
 
More:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Last Lecture: