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Tianhe Yu
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Year
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine
Conference on Robot Learning (CoRL), 2019
7582019
Gradient Surgery for Multi-Task Learning
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
Neural Information Processing Systems (NeurIPS), 2020
6562020
Real-time user-guided image colorization with learned deep priors
R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros
ACM Transactions on Graphics (TOG) 36 (4), 119:1--119:11, 2017
6542017
MOPO: Model-based Offline Policy Optimization
T Yu, G Thomas, L Yu, S Ermon, J Zou, S Levine, C Finn, T Ma
Neural Information Processing Systems (NeurIPS), 2020
5672020
One-shot visual imitation learning via meta-learning
C Finn*, T Yu*, T Zhang, P Abbeel, S Levine
Conference on Robot Learning (CoRL), 2017
5622017
PaLM-E: An Embodied Multimodal Language Model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
International Conference on Machine Learning (ICML), 2023
3882023
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
T Yu, C Finn, A Xie, S Dasari, T Zhang, P Abbeel, S Levine
Robotics: Science and Systems (RSS), 2018
3702018
COMBO: Conservative Offline Model-Based Policy Optimization
T Yu, A Kumar, R Rafailov, A Rajeswaran, S Levine, C Finn
Neural Information Processing Systems (NeurIPS), 2021
2512021
RT-1: Robotics Transformer for Real-World Control at Scale
A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ...
Robotics: Science and Systems (RSS), 2023
2192023
Efficiently Identifying Task Groupings for Multi-Task Learning
C Fifty, E Amid, Z Zhao, T Yu, R Anil, C Finn
Neural Information Processing Systems (NeurIPS), 2021
1442021
Offline Reinforcement Learning from Images with Latent Space Models
R Rafailov*, T Yu*, A Rajeswaran, C Finn
Learning for Dynamics and Control (L4DC), 1154-1168, 2021
942021
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ...
arXiv preprint arXiv:2307.15818, 2023
902023
Generalizing Skills with Semi-Supervised Reinforcement Learning
C Finn, T Yu, J Fu, P Abbeel, S Levine
International Conference on Learning Representations (ICLR), 2016
802016
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
T Yu, P Abbeel, S Levine, C Finn
International Conference on Intelligent Robots and Systems (IROS), 2018
642018
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
L Yu*, T Yu*, C Finn, S Ermon
Neural Information Processing Systems (NeurIPS), 2019
622019
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
T Yu, A Kumar, Y Chebotar, K Hausman, S Levine, C Finn
Neural Information Processing Systems (NeurIPS), 2021
582021
Unsupervised Visuomotor Control through Distributional Planning Networks
T Yu, G Shevchuk, D Sadigh, C Finn
Robotics: Science and Systems (RSS), 2019
462019
How to Leverage Unlabeled Data in Offline Reinforcement Learning
T Yu, A Kumar, Y Chebotar, K Hausman, C Finn, S Levine
International Conference on Machine Learning (ICML), 2022
372022
Visual Adversarial Imitation Learning using Variational Models
R Rafailov, T Yu, A Rajeswaran, C Finn
Neural Information Processing Systems (NeurIPS), 2021
312021
On the Expressivity of Neural Networks for Deep Reinforcement Learning
K Dong, Y Luo, T Yu, C Finn, T Ma
International Conference on Machine Learning (ICML), 2020
282020
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Articles 1–20