Huazhe Xu
- Papers
- 17
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Authored papers
17Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints
arXiv 2025
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
arXiv 2025
Scaling Laws in Scientific Discovery with AI and Robot Scientists
arXiv 2025
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
arXiv 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
arXiv 2024
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
arXiv 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
arXiv 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
arXiv 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
arXiv 2024
GenSim: Generating Robotic Simulation Tasks via Large Language Models
arXiv 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
arXiv 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
arXiv 2023
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
arXiv 2023
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
arXiv 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
arXiv 2023
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
arXiv 2022
End-to-end Learning of Driving Models from Large-scale Video Datasets
end-to-end-learning-of-driving-models-from-1
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