Categories
Berkeley
CMU
Deepmind
NUS
Stanford
Theory
Toronto
University of Washington
Upcoming
2024
Computing and Planning with Large Generative Models
Challenges in Scalable Training Data Attribution
Recent Advances in Average-Reward Restless Bandits
2023
Continual Subtask Learning
Reinforcement Learning from Static Datasets Algorithms, Analysis and Applications
Insights into Intelligence
2022
Understanding Information-Directed Sampling, When and How to Use It?
Towards Instance-Optimal Algorithms for Reinforcement Learning
Epistemic Neural Networks
Optimal Clustering with Bandit Feedback
Adaptivity and Confounding in Multi-Armed Bandit Experiments
2021
Reinforcement Learning, Bit by Bit
Provable Model-based Nonlinear Bandit and Reinforcement Learning
Diffusion Asymptotics for Sequential Experiments
Lectures on Information Directed Sampling
