research
∙
07/24/2023
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems
A crucial task in decision-making problems is reward engineering. It is ...
share
research
∙
12/15/2022
Efficient Long Sequence Modeling via State Space Augmented Transformer
Transformer models have achieved superior performance in various natural...
research
∙
06/06/2022
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
We consider the off-policy evaluation problem of reinforcement learning ...
research
∙
01/24/2022
Homotopic Policy Mirror Descent: Policy Convergence, Implicit Regularization, and Improved Sample Complexity
We propose the homotopic policy mirror descent (HPMD) method for solving...
research
∙
10/15/2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Fine-tuned pre-trained language models (LMs) achieve enormous success in...
research
∙
09/10/2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Residual Network (ResNet) is undoubtedly a milestone in deep learning. R...
research
∙
12/29/2016
