Difference between revisions of "10-601 Markov Decision Processes and Reinforcement Learning"
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Revision as of 10:19, 1 December 2013
Slides
Readings
Taking home message
- What distinguishes RL from Supervised Learning and Unsupervised Learning?
- Elements of a Markov Decision Process
- Both value iteration and policy iteration are standard algorithms for solving MDPs, and there isn't currently universal agreement over which algorithm is better.
- Q-learning is model-free, and explore the temporal difference
