Assignment cover

Please use for all assignments the following cover.pdf.


On this site you find the problem sets and projects for the practicals.


Problem Sets

Nr.IssuedQuestion timeDeadlineLinkAdditional Material
116.10.201223.10.201230.10.2012Comparison of Optimization Algorithms
216.10.201223.10.201230.10.2012Cart-Pole Controller Optimization
316.10.201223.10.201230.10.2012Genetic Algorithms
46.11.201220.11.201227.11.2012Genetic Coding
56.11.201220.11.201227.11.2012RL theory I MDP_Theory.pdf
66.11.201220.11.201227.11.2012RL theory II
76.11.201220.11.201227.11.2012RL application: On- and off-policy learning
86.11.201220.11.201227.11.2012RL game
94.12.201211.12.201215.1.2013Policy Gradient Methods: Swimmer
104.12.201211.12.201215.1.2013Bayesian networks
114.12.201211.12.201215.1.2013Approximate inference in Bayesian networks
1215.1.201322.1.20135.2.2013Learning overhypotheses
1315.1.201322.1.20135.2.2013Planning with approximate inference

Slides from the Practicals

116.10.2012 Organization and Search Algorithms Slides (PDF)
26.11.2012 Reinforcement Learning Slides (PDF)
34.12.2012 RL in Robotics and Probabilistic Inference Slides (PDF)
415.1.2013 Learning and Planning with Probabilistic Inference Slides (PDF)

Please post your questions concerning the problem sets to the MLB Newsgroup, or send them directly to Stefan Häusler.