Articles with public access mandates - Xingyu LinLearn more
Available somewhere: 11
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
X Lin, Y Wang, J Olkin, D Held
Conference on Robot Learning (CoRL), 2020
Mandates: US National Science Foundation, US Department of Defense
Adaptive Auxiliary Task Weighting for Reinforcement Learning
X Lin, H Baweja, G Kantor, D Held
Advances in Neural Information Processing Systems (NeurIPS), 4772-4783, 2019
Mandates: US National Science Foundation, US Department of Defense, US Department of …
Learning Visible Connectivity Dynamics for Cloth Smoothing
X Lin, Y Wang, D Held
Conference on Robot Learning (CoRL), 2021
Mandates: US National Science Foundation
Learning closed-loop dough manipulation using a differentiable reset module
C Qi, X Lin, D Held
IEEE Robotics and Automation Letters 7 (4), 9857-9864, 2022
Mandates: US National Science Foundation
Self-supervised transparent liquid segmentation for robotic pouring
G Narasimhan, K Zhang, B Eisner, X Lin, D Held
2022 International Conference on Robotics and Automation (ICRA), 4555-4561, 2022
Mandates: US National Science Foundation
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking
Z Huang, X Lin, D Held
2023 International Conference on Robotics and Automation (ICRA), 2023
Mandates: US National Science Foundation
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Y Wang, GN Narasimhan, X Lin, B Okorn, D Held
Conference on Robot Learning (CoRL), 2020
Mandates: US National Science Foundation, US Department of Defense
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
X Lin, J So, S Mahalingam, F Liu, P Abbeel
2024 International Conference on Robotics and Automation (ICRA), 2023
Mandates: US National Science Foundation
Learning robust object recognition using composed scenes from generative models
H Wang, X Lin, Y Zhang, TS Lee
2017 14th Conference on Computer and Robot Vision (CRV), 232-239, 2017
Mandates: US National Science Foundation, US Office of the Director of National …
Adaptive variance for changing sparse-reward environments
X Lin, P Guo, C Florensa, D Held
2019 International Conference on Robotics and Automation (ICRA), 3210-3216, 2019
Mandates: US Department of Defense
Learning Generalizable Tool-use Skills through Trajectory Generation
C Qi, S Shetty, X Lin*, D Held*
arXiv preprint arXiv:2310.00156, 2023
Mandates: US National Science Foundation
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