PhD in Computer Science and Engineering
University of Michigan, 2021
Gradient-Variation Bound for Online Convex Optimization with Constraints
Conference paper
Conference paper
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
Conference paper
Conference paper
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Conference paper
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
Conference paper
Conference paper
Conference paper
No Publications |
No Publications |
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