Huazhe Xu
Orcid: 0000-0001-8578-1261
According to our database1,
Huazhe Xu
authored at least 82 papers
between 2015 and 2024.
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Bibliography
2024
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation.
IEEE Robotics Autom. Lett., February, 2024
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks.
Int. J. Robotics Res., 2024
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning.
CoRR, 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion.
CoRR, 2024
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model.
CoRR, 2024
CoRR, 2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL.
CoRR, 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation.
CoRR, 2024
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.
CoRR, 2024
CoRR, 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
CoRR, 2024
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation.
CoRR, 2024
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic.
CoRR, 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.
Proceedings of the International Conference on Machine Learning, 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Conference on Robot Learning, 2023
2022
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification.
Proceedings of the International Conference on Machine Learning, 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization.
CoRR, 2019
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees.
CoRR, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018
2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015