Yufei Wang

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David HeldAssociate Professor in the Robotics Institute, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Zackory EricksonAssistant Professor, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Zhou XianRobotics Institute, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Xingyu LinOpenAIPatvirtintas el. paštas openai.com
Chuang GanUMass Amherst | MIT-IBM Watson AI LabPatvirtintas el. paštas csail.mit.edu
Zhanyi SunStanford UniversityPatvirtintas el. paštas stanford.edu
Tianwei NiMila, University of MontrealPatvirtintas el. paštas mila.quebec
Bin DongBeijing International Center for Mathematical Research, Peking UniversityPatvirtintas el. paštas math.pku.edu.cn
Ziju ShenAcademy for Advanced Interdisciplinary Studies, Peking UniversityPatvirtintas el. paštas pku.edu.cn
Zixuan HuangPhD in Robotics, University of MichiganPatvirtintas el. paštas umich.edu
Benjamin EysenbachPrinceton UniversityPatvirtintas el. paštas princeton.edu
Lisa LeeGoogle DeepMindPatvirtintas el. paštas google.com
Harshit SikchiUniversity of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
Tejus GuptaCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Daniel SeitaUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Erdem BıyıkAssistant Professor, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Thomas WengResearch Scientist, Boston Dynamics AI InstitutePatvirtintas el. paštas theaiinstitute.com

Stebėti

Yufei Wang

PhD student at Robotics Institute, Carneige Mellon University

Patvirtintas el. paštas andrew.cmu.edu - Pagrindinis puslapis

Robot Learning Reinforcement Learning Robotics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation X Lin, Y Wang, J Olkin, D Held Conference on Robot Learning 2020, 2020	235	2020
Learning Visible Connectivity Dynamics for Cloth Smoothing X Lin, Y Wang, Z Huang, D Held Conference on Robot Learning 2021, 2021	118	2021
Deep reinforcement learning for green security games with real-time information Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1401-1408, 2019	97	2019
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	91	2022
f-IRL: Inverse Reinforcement Learning via State Marginal Matching T Ni, H Sikchi, Y Wang, T Gupta, L Lee, B Eysenbach Conference on Robot Learning 2020, 2020	85	2020
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation Y Wang, Z Xian, F Chen*, TH Wang, Y Wang, K Fragkiadaki, Z Erickson, ... ICML 2024, 2023	67	2023
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning Y Wang, Z Shen, Z Long, B Dong Communications in Computational Physics 2020, 2019	53	2019
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds D Seita, Y Wang, SJ Shetty, EY Li*, Z Erickson, D Held CoRL 2022, 2022	49	2022
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback Y Wang, Z Sun, J Zhang, Z Xian, E Biyik, D Held, Z Erickson ICML 2024, 2024	45	2024
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient Y Wang, T Ni 4th ICML workshop on Automated Machine Learning, 2020	32	2020
Learning to scan: A deep reinforcement learning approach for personalized scanning in CT imaging Z Shen, Y Wang, D Wu, X Yang, B Dong arXiv preprint arXiv:2006.02420, 2020	27	2020
Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions Y Wang, D Held, Z Erickson IEEE Robotics and Automation Letters 7 (4), 11426-11433, 2022	24	2022
One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments Y Wang, Z Sun, Z Erickson, D Held RSS 2023, 2023	17	2023
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Y Wang, GN Narasimhan, X Lin, B Okorn, D Held Conference on Robot Learning 2020, 2020	15	2020
Towards generalist robots: A promising paradigm via generative simulation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang, Y Wang arXiv preprint arXiv:2305.10455, 2023	13*	2023
Beyond exponentially discounted sum: Automatic learning of return function Y Wang, Q Ye, TY Liu 2020 Neurips Deep RL workshop, 2019	12	2019
Magic cube bloom filter: answering membership queries for multiple sets Z Sun, S Gao, B Liu, Y Wang, T Yang, B Cui 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019	10	2019
Unfolding the literature: A review of robotic cloth manipulation A Longhini, Y Wang, I Garcia-Camacho, D Blanco-Mulero, M Moletta, ... Annual Review of Control, Robotics, and Autonomous Systems 8, 2024	8	2024
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles A Longhini, M Moletta, A Reichlin, MC Welle, A Kravberg, Y Wang, D Held, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 1764-1770, 2023	8	2023
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning W Wan, Z Wang, Y Wang*, Z Erickson, D Held NeurIPS 2024 Spotlight, 2024	5*	2024

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