EXEN 2453 - Reinforcement Learning Applications

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Faculty of Extension

An introduction to principles of reinforcement learning that include algorithms supporting action decision processes that optimize long-term performance. Topics include: dynamic programming, Q-learning, Monte Carlo reinforcement learning, and efficient algorithms for single- and multi-agent planning. Co-requisite: EXEN 2452

Continuing Ed Spring 2022


LECTURE SP1 (30001)
Capacity: 20
2022-04-01 - 2022-06-11

Primary Instructor: Marek Reformat