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Ted Xiao
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Year
Learning Latent Plans from Play
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
Conference on Robot Learning (CoRL), 2019, 1113-1132, 2019
2042019
Goal-driven dynamics learning via Bayesian optimization
S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5168-5173, 2017
992017
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ...
arXiv preprint arXiv:2204.01691, 2022
762022
Actionable models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ...
International Conference on Machine Learning (ICML), 2021, 2021
462021
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog
International Conference on Learning Representations (ICLR), 2020, 2020
282020
Inner monologue: Embodied reasoning through planning with language models
W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ...
arXiv preprint arXiv:2207.05608, 2022
202022
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
Conference on Robot Learning (CoRL), 2021, 1078-1088, 2021
152021
Jump-Start Reinforcement Learning
I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ...
arXiv preprint arXiv:2204.02372, 2022
102022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
D Shah, P Xu, Y Lu, T Xiao, A Toshev, S Levine, B Ichter
arXiv preprint arXiv:2111.03189, 2021
62021
Generative Adversarial Networks for Model-based Reinforcement Learning with Tree Search
T Xiao, G Kesineni
University of California, Berkeley, Technical report, 2016
42016
Frame rate upscaling with deep neural networks
T Xiao, R Puri, G Kesineni
Term Paper for CS294-129 Deep Neural Networks, Fall, 2016
22016
17 Adversarial Machine Learning
P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih
Artificial Intelligence Safety and Security, 235, 2018
12018
A Literature Review of Learning and Optimization Methods Applied to Quadrotor Control
T Xiao
12016
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
T Xiao, H Chan, P Sermanet, A Wahid, A Brohan, K Hausman, S Levine, ...
arXiv preprint arXiv:2211.11736, 2022
2022
Token Turing Machines
MS Ryoo, K Gopalakrishnan, K Kahatapitiya, T Xiao, K Rao, A Stone, Y Lu, ...
arXiv preprint arXiv:2211.09119, 2022
2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
KH Lee, T Xiao, A Li, P Wohlhart, I Fischer, Y Lu
arXiv preprint arXiv:2210.08217, 2022
2022
Kontradyktoryjne uczenie maszynowe
P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih
Napędy i Sterowanie 23, 2021
2021
Goal-Driven Dynamics Learning via Bayesian Optimization
T Xiao
University of California, Berkeley, 2017
2017
Robotic Skill Acquisition by Instruction Augmentation on Offline Datasets
T Xiao, H Chan, P Sermanet, A Wahid, A Brohan, K Hausman, S Levine, ...
Workshop on Language and Robotics at CoRL 2022, 0
LEARNING LATENT PLANS FROM PLAY DATA
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
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Articles 1–20