The course provides a theory-centric introduction to Reinforcement Learning. Students will learn the key concepts and algorithms driving Reinforcement Learning, including Markov Decision Processes, Monte Carlo Learning, and Policy Gradient methods. The course will culminate in a final reinforcement-learning project built on OpenAI Gym that will be presented to the class.
The subject is taught to University of Maryland upper-level undergraduate students. Details for the class are here.
I’m Kevin Chen, and this is my personal website. I am a second-year student in the CS department at the University of Maryland. ¶ My research interests are in machine learning and theoretical computer science. In my free time, I enjoy reading, filmmaking and helping out with Bitcamp.
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