Huazhe Xu

Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control RSS 2025 Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation RSS 2025 World Models with Hints of Large Language Models for Goal Achieving NAACL 2025 DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration CORL 2025 FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots CORL 2025 Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation CVPR 2025 A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control ICML 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo ICLR 2025 Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion ICLR 2025 Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets ICLR 2025 DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning RSS 2025 DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove RSS 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 4D Visual Pre-training for Robot Learning ICCV 2025 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024 Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NIPS 2024 Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features NIPS 2024 Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning CORL 2024 RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation CORL 2024 GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs CORL 2024 Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation ECCV 2024 Diffusion Reward: Learning Rewards via Conditional Video Diffusion ECCV 2024 Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning ICLR 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 GenSim: Generating Robotic Simulation Tasks via Large Language Models ICLR 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 DittoGym: Learning to Control Soft Shape-Shifting Robots ICLR 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 Rethinking Transformers in Solving POMDPs ICML 2024 OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL ICML 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations RSS 2024 OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation WACV 2024 Decision Transformer under Random Frame Dropping ICLR 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NIPS 2023 MoVie: Visual Model-Based Policy Adaptation for View Generalization NIPS 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023 CEIL: Generalized Contextual Imitation Learning NIPS 2023 H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation NIPS 2023 $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023 On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline ICML 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CORL 2023 Simple Emergent Action Representations from Multi-Task Policy Training ICLR 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023 Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance NIPS 2022 See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation CORL 2022 RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks RSS 2022 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers ICLR 2022 Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022 Solving Compositional Reinforcement Learning Problems via Task Reduction ICLR 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021 Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes CVPR 2021 Multi-Person 3D Motion Prediction with Multi-Range Transformers NIPS 2021 NovelD: A Simple yet Effective Exploration Criterion NIPS 2021 Video Prediction via Example Guidance ICML 2020 Multi-Task Reinforcement Learning with Soft Modularization NIPS 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Hierarchical Style-based Networks for Motion Synthesis ECCV 2020 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019 Disentangling Propagation and Generation for Video Prediction ICCV 2019 End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017 Natural Language Object Retrieval CVPR 2016