Seuraa
Tianhe Yu
Tianhe Yu
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
4722017
One-shot visual imitation learning via meta-learning
C Finn*, T Yu*, T Zhang, P Abbeel, S Levine
Conference on Robot Learning (CoRL), 2017
4302017
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
3462019
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
2732018
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
2602020
Gradient Surgery for Multi-Task Learning
T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn
Neural Information Processing Systems (NeurIPS), 2020
2412020
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
842021
Generalizing Skills with Semi-Supervised Reinforcement Learning
C Finn, T Yu, J Fu, P Abbeel, S Levine
International Conference on Learning Representations (ICLR), 2016
642016
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
492018
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
412021
Unsupervised Visuomotor Control through Distributional Planning Networks
T Yu, G Shevchuk, D Sadigh, C Finn
Robotics: Science and Systems (RSS), 2019
392019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
L Yu*, T Yu*, C Finn, S Ermon
Neural Information Processing Systems (NeurIPS), 2019
352019
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
182021
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
172021
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
112020
Visual Adversarial Imitation Learning using Variational Models
R Rafailov, T Yu, A Rajeswaran, C Finn
Neural Information Processing Systems (NeurIPS), 2021
92021
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
72020
Variable-Shot Adaptation for Online Meta-Learning
T Yu, X Geng, C Finn, S Levine
arXiv preprint arXiv:2012.07769, 2020
32020
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
32019
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, ...
arXiv preprint arXiv:2203.08949, 2022
22022
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