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Chen Tang
Chen Tang
Postdoctoral Fellow in Computer Science, UT Austin
E-mailová adresa ověřena na: austin.utexas.edu - Domovská stránka
Název
Citace
Citace
Rok
A highly sensitive graphene woven fabric strain sensor for wearable wireless musical instruments
X Liu, C Tang, X Du, S Xiong, S Xi, Y Liu, X Shen, Q Zheng, Z Wang, Y Wu, ...
Materials Horizons 4 (3), 477-486, 2017
2482017
Hierarchical planning through goal-conditioned offline reinforcement learning
J Li, C Tang, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters 7 (4), 10216-10223, 2022
602022
Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control
Z Xu, C Tang, M Tomizuka
2018 21st International Conference on Intelligent Transportation Systems …, 2018
522018
Pretram: Self-supervised pre-training via connecting trajectory and map
C Xu, T Li, C Tang, L Sun, K Keutzer, M Tomizuka, A Fathi, W Zhan
European Conference on Computer Vision, 34-50, 2022
362022
Continuous decision making for on-road autonomous driving under uncertain and interactive environments
J Chen, C Tang, L Xin, SE Li, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 1651-1658, 2018
312018
Dealing with the unknown: Pessimistic offline reinforcement learning
J Li, C Tang, M Tomizuka, W Zhan
Conference on Robot Learning, 1455-1464, 2022
252022
Deep reinforcement learning for robotics: A survey of real-world successes
C Tang, B Abbatematteo, J Hu, R Chandra, R Martín-Martín, P Stone
Annual Review of Control, Robotics, and Autonomous Systems 8, 2024
232024
Exploring social posterior collapse in variational autoencoder for interaction modeling
C Tang, W Zhan, M Tomizuka
Advances in Neural Information Processing Systems 34, 8481-8494, 2021
232021
Adaptive probabilistic vehicle trajectory prediction through physically feasible bayesian recurrent neural network
C Tang, J Chen, M Tomizuka
2019 International Conference on Robotics and Automation (ICRA), 3846-3852, 2019
232019
Disturbance-observer-based tracking controller for neural network driving policy transfer
C Tang, Z Xu, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems 21 (9), 3961-3972, 2019
222019
Domain knowledge driven pseudo labels for interpretable goal-conditioned interactive trajectory prediction
L Sur, C Tang, Y Niu, E Sachdeva, C Choi, T Misu, M Tomizuka, W Zhan
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
182022
A remote control strategy for an autonomous vehicle with slow sensor using kalman filtering and dual-rate control
Á Cuenca, W Zhan, J Salt, J Alcaina, C Tang, M Tomizuka
Sensors 19 (13), 2983, 2019
172019
Toward modularization of neural network autonomous driving policy using parallel attribute networks
Z Xu, H Chang, C Tang, C Liu, M Tomizuka
2019 IEEE Intelligent Vehicles Symposium (IV), 1400-1407, 2019
172019
Interventional behavior prediction: Avoiding overly confident anticipation in interactive prediction
C Tang, W Zhan, M Tomizuka
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
162022
Application Specific System Identification for Model-Based Control in Self-Driving Cars
JMS Ducaju, C Tang, M Tomizuka, CY Chan
2020 IEEE Intelligent Vehicles Symposium (IV), 384-390, 2020
132020
Grounded relational inference: Domain knowledge driven explainable autonomous driving
C Tang, N Srishankar, S Martin, M Tomizuka
IEEE Transactions on Intelligent Transportation Systems, 2024
122024
Editing driver character: Socially-controllable behavior generation for interactive traffic simulation
WJ Chang, C Tang, C Li, Y Hu, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters, 2023
122023
Pre-training on synthetic driving data for trajectory prediction
Y Li, SZ Zhao, C Xu, C Tang, C Li, M Ding, M Tomizuka, W Zhan
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
92024
Guided online distillation: Promoting safe reinforcement learning by offline demonstration
J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan
2024 IEEE International Conference on Robotics and Automation (ICRA), 7447-7454, 2024
82024
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
C Hao, C Weaver, C Tang, K Kawamoto, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters, 2024
6*2024
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Články 1–20