Monday, August 26, 2019 — 9:00 AM to Friday, August 30, 2019 — 5:00 PM EDT
Friday, August 9, 2019 — 2:00 PM EDT

Candidate: Haobei Song

Title: From Reinforcement Learning to Approximate Optimal Learning

  

Date: August 9, 2019

Time: 2:00PM

Place: EIT 3145

Supervisor(s): Tripunitara, Mahesh

 Abstract:

Reinforcement learning framework gives no closed form analysis for exploration/exploitation dilemma. As a consequence, there is no general theory to explain data efficiency, which often impacts practical applications of reinforcement learning algorithms.

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