Các bài viết có thể truy cập công khai - David HeldTìm hiểu thêm
Có tại một số nơi: 42
Constrained policy optimization
J Achiam, D Held, A Tamar, P Abbeel
International conference on machine learning, 22-31, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
Pcn: Point completion network
W Yuan, T Khot, D Held, C Mertz, M Hebert
2018 international conference on 3D vision (3DV), 728-737, 2018
Các cơ quan ủy nhiệm: US Department of Transportation
Automatic goal generation for reinforcement learning agents
C Florensa, D Held, X Geng, P Abbeel
International conference on machine learning, 1515-1528, 2018
Các cơ quan ủy nhiệm: US Department of Defense, Banking Foundation "la Caixa"
3d multi-object tracking: A baseline and new evaluation metrics
X Weng, J Wang, D Held, K Kitani
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Các cơ quan ủy nhiệm: US Office of the Director of National Intelligence
Softgym: Benchmarking deep reinforcement learning for deformable object manipulation
X Lin, Y Wang, J Olkin, D Held
Conference on Robot Learning, 432-448, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Plas: Latent action space for offline reinforcement learning
W Zhou, S Bajracharya, D Held
Conference on Robot Learning, 1719-1735, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Enabling robots to communicate their objectives
SH Huang, D Held, P Abbeel, AD Dragan
Autonomous Robots 43, 309-326, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Just go with the flow: Self-supervised scene flow estimation
H Mittal, B Okorn, D Held
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Adaptive auxiliary task weighting for reinforcement learning
X Lin, H Baweja, G Kantor, D Held
Advances in neural information processing systems 32, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US Department of …
Learning visible connectivity dynamics for cloth smoothing
X Lin, Y Wang, Z Huang, D Held
Conference on Robot Learning, 256-266, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Fabricflownet: Bimanual cloth manipulation with a flow-based policy
T Weng, SM Bajracharya, Y Wang, K Agrawal, D Held
Conference on Robot Learning, 192-202, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Robust single-view instance recognition
D Held, S Thrun, S Savarese
2016 IEEE International Conference on Robotics and Automation (ICRA), 2152-2159, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Learning to grasp the ungraspable with emergent extrinsic dexterity
W Zhou, D Held
Conference on Robot Learning, 150-160, 2023
Các cơ quan ủy nhiệm: US National Science Foundation
Tax-pose: Task-specific cross-pose estimation for robot manipulation
C Pan, B Okorn, H Zhang, B Eisner, D Held
Conference on Robot Learning, 1783-1792, 2023
Các cơ quan ủy nhiệm: US National Science Foundation
Cloth region segmentation for robust grasp selection
J Qian, T Weng, L Zhang, B Okorn, D Held
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds
D Seita, Y Wang, SJ Shetty, EY Li, Z Erickson, D Held
Conference on Robot Learning, 1038-1049, 2023
Các cơ quan ủy nhiệm: US National Science Foundation
Neural grasp distance fields for robot manipulation
T Weng, D Held, F Meier, M Mukadam
2023 IEEE International Conference on Robotics and Automation (ICRA), 1814-1821, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Learning off-policy with online planning
H Sikchi, W Zhou, D Held
Conference on Robot Learning, 1622-1633, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
AutoBag: Learning to Open Plastic Bags and Insert Objects
L Yunliang Chen, B Shi, D Seita, R Cheng, T Kollar, D Held, K Goldberg
arXiv e-prints, arXiv: 2210.17217, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Multi-modal transfer learning for grasping transparent and specular objects
T Weng, A Pallankize, Y Tang, O Kroemer, D Held
IEEE Robotics and Automation Letters 5 (3), 3791-3798, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
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