Papers
959 papers found
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Jinxin Liu, Lipeng Zu, Li He et al.
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States
Zidan Wang, Takeru Oba, Takuma Yoneda et al.
Composable Part-Based Manipulation
Weiyu Liu, Jiayuan Mao, Joy Hsu et al.
Compositional Diffusion-Based Continuous Constraint Solvers
Zhutian Yang, Jiayuan Mao, Yilun Du et al.
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
Jingsong Liang, Zhichen Wang, Yuhong Cao et al.
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu et al.
Continual Vision-based Reinforcement Learning with Group Symmetries
Shiqi Liu, Mengdi Xu, Peide Huang et al.
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum et al.
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable
Liangtao Zheng, Yicheng Liu, Yue Wang et al.
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks
Clemens Schwarke, Victor Klemm, Matthijs van der Boon et al.
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
Kevin Huang, Rwik Rana, Alexander Spitzer et al.
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu, Zixu Zhang, Kensuke Nakamura et al.
DEFT: Dexterous Fine-Tuning for Hand Policies
Aditya Kannan, Kenneth Shaw, Shikhar Bahl et al.
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Irmak Guzey, Ben Evans, Soumith Chintala et al.
Dexterous Functional Grasping
Ananye Agarwal, Shagun Uppal, Kenneth Shaw et al.
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
Xinghao Zhu, JingHan Ke, Zhixuan Xu et al.
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
William Shen, Ge Yang, Alan Yu et al.
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
Qing LIAN, Tai Wang, Dahua Lin et al.
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation
Sravan Jayanthi, Letian Chen, Nadya Balabanska et al.
Dynamic Handover: Throw and Catch with Bimanual Hands
Binghao Huang, Yuanpei Chen, Tianyu Wang et al.
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
Peter Werner, Tim Seyde, Paul Drews et al.
DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers
Boling Yang, Soofiyan Atar, Markus Grotz et al.
Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning
Xiang Zhang, Changhao Wang, Lingfeng Sun et al.
Embodied Lifelong Learning for Task and Motion Planning
Jorge Mendez-Mendez, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil