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
Scaling Laws in Scientific Discovery with AI and Robot Scientists
arXiv 2025
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
arXiv 2025
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
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
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
arXiv 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
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
GenSim: Generating Robotic Simulation Tasks via Large Language Models
arXiv 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for 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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