3 papers
cs.LG2024
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Chengrui Qu, Laixi Shi, Kishan Panaganti +2
Online Reinforcement learning (RL) typically requires high-stakes online interaction data to learn a policy for a target task. This prompts interest in leveraging historical data t…
cs.CV2024
360+x: A Panoptic Multi-modal Scene Understanding Dataset
Hao Chen, Yuqi Hou, Chenyuan Qu +3
Human perception of the world is shaped by a multitude of viewpoints and modalities. While many existing datasets focus on scene understanding from a certain perspective (e.g. egoc…
cs.CV2023
Multi-view Self-supervised Disentanglement for General Image Denoising
Hao Chen, Chenyuan Qu, Yu Zhang +2
With its significant performance improvements, the deep learning paradigm has become a standard tool for modern image denoisers. While promising performance has been shown on seen…