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Tianhe Yu
Tianhe Yu
Google Brain
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Cited by
Year
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
5212017
One-shot visual imitation learning via meta-learning
C Finn*, T Yu*, T Zhang, P Abbeel, S Levine
Conference on Robot Learning (CoRL), 2017
4582017
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
4142019
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
3182020
Gradient Surgery for Multi-Task Learning
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
Neural Information Processing Systems (NeurIPS), 2020
3182020
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
2892018
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
1122021
Generalizing Skills with Semi-Supervised Reinforcement Learning
C Finn, T Yu, J Fu, P Abbeel, S Levine
International Conference on Learning Representations (ICLR), 2016
622016
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
532021
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
522018
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
L Yu*, T Yu*, C Finn, S Ermon
Neural Information Processing Systems (NeurIPS), 2019
402019
Unsupervised Visuomotor Control through Distributional Planning Networks
T Yu, G Shevchuk, D Sadigh, C Finn
Robotics: Science and Systems (RSS), 2019
392019
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
382021
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
222021
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
132020
Visual Adversarial Imitation Learning using Variational Models
R Rafailov, T Yu, A Rajeswaran, C Finn
Neural Information Processing Systems (NeurIPS), 2021
122021
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
92022
Measuring and Harnessing Transference in Multi-Task Learning
C Fifty, E Amid, Z Zhao, T Yu, R Anil, C Finn
arXiv preprint arXiv:2010.15413, 2020
92020
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL
X Chen, A Ghadirzadeh, T Yu, Y Gao, J Wang, W Li, B Liang, C Finn, ...
Neural Information Processing Systems (NeurIPS), 2022
52022
Multi-task reinforcement learning without interference
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
Optimization Foundations for Reinforcement Learning Workshop at NeurIPS, 2019
42019
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Articles 1–20