Advanced Topics in Machine Learning: Reinforcement Learning

David Silver, University College London

Advanced Topics 2015 (COMPM050/COMPGI13)

Reinforcement Learning



Video-lectures available here


Lecture 1: Introduction to Reinforcement Learning

Lecture 2: Markov Decision Processes

Lecture 3: Planning by Dynamic Programming

Lecture 4: Model-Free Prediction

Lecture 5: Model-Free Control

Lecture 6: Value Function Approximation

Lecture 7: Policy Gradient Methods

Lecture 8: Integrating Learning and Planning

Lecture 9: Exploration and Exploitation

Lecture 10: Case Study: RL in Classic Games


Easy21 assignment


Discussion and announcements: http://groups.google.com/group/csml-advanced-topics

See also http://www.gatsby.ucl.ac.uk/~gretton/rkhscourse.html

for Advanced Topics: Kernel Methods


Previous years RL exam questions and answers

Dates:
  • Free schedule
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  • Language: English Gb

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