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:

See also

for Advanced Topics: Kernel Methods

Previous years RL exam questions and answers

  • Free schedule
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  • Language: English Gb


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