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02/22/2023
Provably Efficient Reinforcement Learning via Surprise Bound
Value function approximation is important in modern reinforcement learni...
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02/07/2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
Goal-conditioned reinforcement learning (GCRL) refers to learning genera...
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01/30/2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
We propose A-Crab (Actor-Critic Regularized by Average Bellman error), a...
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11/01/2022
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Offline reinforcement learning (RL), which refers to decision-making fro...
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07/03/2021
Average-Case Communication Complexity of Statistical Problems
We study statistical problems, such as planted clique, its variants, and...
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06/24/2020
Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems
We consider the general problem of learning about a matrix through vecto...
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03/19/2020
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
Across many areas, from neural tracking to database entity resolution, m...
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08/28/2019