Efficient Exploration in Deep RL via Utility Theory - CANCELED
Jan
31
Date(s)
Summary
Dr. Brendan O’Donoghue (Google DeepMind)
Allen 101X
Allen 101X
Displaying 1 - 6 of 6 results.
Improving Foundation Models with Autonomous Sub-Optimal Data
Oct
17
Date(s)
Summary
Prof. Aviral Kumar
Allen 101X
Allen 101X
Recent Advances in Average-Reward Restless Bandits
Jan
9
Date(s)
Summary
Prof. Weina Wang (Carnegie Mellon)
Packard 202
Packard 202
Continual subtask learning
Dec
6
Date(s)
Summary
Adam White
Packard 202
Packard 202
RL Forum Seminar: Reinforcement Learning from Static Datasets Algorithms, Analysis and Applications
Apr
26
Date(s)
Summary
Aviral Kumar (UC Berkeley)
200-305, Lane History Corner, Main Quad
200-305, Lane History Corner, Main Quad
Towards Instance-Optimal Algorithms for Reinforcement Learning
Oct
27
Date(s)
Summary
Prof. Kevin Jamieson, University of Washington
Packard 101
Packard 101