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Poster
Tue 14:00 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
Ming Yin · Yu Bai · Yu-Xiang Wang
Oral
Tue 16:30 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue 18:30 Q-learning with Logarithmic Regret
Kunhe Yang · Lin Yang · Simon Du
Poster
Tue 18:30 Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Tue 18:30 On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
Poster
Wed 6:00 On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Baohe Zhang · Raghu Rajan · Luis Pineda · Nathan Lambert · Andr√© Biedenkapp · Kurtland Chua · Frank Hutter · Roberto Calandra
Poster
Wed 12:45 Abstract Value Iteration for Hierarchical Reinforcement Learning
Kishor Jothimurugan · Osbert Bastani · Rajeev Alur
Poster
Wed 12:45 DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu
Poster
Wed 12:45 Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan G√ľnnemann
Poster
Wed 12:45 Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors
Benjamin Moseley · Sergei Vassilvtiskii · Yuyan Wang
Poster
Thu 7:30 Reinforcement Learning in Parametric MDPs with Exponential Families
Sayak Ray Chowdhury · Aditya Gopalan · Odalric Maillard