Tianhe Yu

发表

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, Robotics: Science and Systems.

Gradient Surgery for Multi-Task Learning pdf

Karol Hausman, Abhishek Gupta, Chelsea Finn, 2020, NeurIPS.

Variable-Shot Adaptation for Online Meta-Learning pdf

Sergey Levine, Chelsea Finn, Tianhe Yu, 2020, ArXiv.

Real-time user-guided image colorization with learned deep priors

Alexei A. Efros, Jun-Yan Zhu, Richard Zhang, 2017, ACM Trans. Graph..

MOPO: Model-based Offline Policy Optimization pdf

Lantao Yu, Stefano Ermon, Tengyu Ma, 2020, NeurIPS.

Improved image haze removal algorithm based on fast guided filter

Ting Pan, Tianhe Yu, Tianhe Yu, 2018, International Conference on Digital Image Processing.

Generalizing Skills with Semi-Supervised Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICLR.

Multi-Task Offline Reinforcement Learning with Conservative Data Sharing

S. Levine, Karol Hausman, Chelsea Finn, 2021 .

Example-Based Ofﬂine Reinforcement Learning without Rewards

Chelsea Finn, Tianhe Yu, Kyle Hatch, 2021 .

Gradient Surgery for Multi-Task Learning

S. Levine, Saurabh Kumar, Abhishek Gupta, 2020, NeurIPS.

V ARIATIONAL M ODEL -B ASED I MITATION L EARNING IN H IGH -D IMENSIONAL O BSERVATION S PACES

Chelsea Finn, A. Rajeswaran, Tianhe Yu, 2021 .

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

S. Levine, Deirdre Quillen, Karol Hausman, 2019, CoRL.

Mint: Matrix-Interleaving for Multi-Task Learning

Sergey Levine, Karol Hausman, Abhishek Gupta, 2019 .

Offline Reinforcement Learning at Multiple Frequencies

Karol Hausman, Chelsea Finn, Tianhe Yu, 2022, CoRL.

Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning

X. Chen, Chelsea Finn, Tianhe Yu, 2022 .

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Chelsea Finn, S. Ermon, Tianhe Yu, 2019, NeurIPS.

Train Offline, Test Online: A Real Robot Learning Benchmark

P. Abbeel, Chelsea Finn, A. Rajeswaran, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

RT-1: Robotics Transformer for Real-World Control at Scale

S. Levine, Vincent Vanhoucke, M. Ryoo, 2022, Robotics: Science and Systems.

Visual Adversarial Imitation Learning using Variational Models

Chelsea Finn, A. Rajeswaran, Tianhe Yu, 2021, NeurIPS.

Efficiently Identifying Task Groupings for Multi-Task Learning

Christopher Fifty, Chelsea Finn, Tianhe Yu, 2021, Neural Information Processing Systems.

Measuring and Harnessing Transference in Multi-Task Learning

Christopher Fifty, Chelsea Finn, Tianhe Yu, 2020, ArXiv.

PaLM-E: An Embodied Multimodal Language Model

Mehdi S. M. Sajjadi, Peter R. Florence, S. Levine, 2023, ICML.

One-Shot Visual Imitation Learning via Meta-Learning

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2017, CoRL.

COMBO: Conservative Offline Model-Based Policy Optimization pdf

Sergey Levine, Chelsea Finn, Aravind Rajeswaran, 2021, NeurIPS.

How to Leverage Unlabeled Data in Offline Reinforcement Learning

S. Levine, Karol Hausman, Chelsea Finn, 2022, ICML.

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, NeurIPS.

Offline Reinforcement Learning from Images with Latent Space Models pdf

Chelsea Finn, Aravind Rajeswaran, Tianhe Yu, 2020, L4DC.

Scaling Robot Learning with Semantically Imagined Experience

Karol Hausman, Ted Xiao, Jonathan Tompson, 2023, Robotics: Science and Systems.

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL

Xi Chen, Chelsea Finn, Tianhe Yu, 2022, ArXiv.

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ArXiv.

Scaling Robot Learning with Semantic Data Augmentation through Diffusion Models

Karol Hausman, Ted Xiao, Jonathan Tompson, 2022 .

RT-1: Robotics Transformer for Real-World Control at Scale

Pannag R. Sanketi, S. Levine, Vincent Vanhoucke, 2022, Robotics: Science and Systems.

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching

Tianhe Yu, Jiaming Song, W. Neiswanger, 2023, AAAI.

Contrastive Example-Based Control

S. Levine, R. Salakhutdinov, Chelsea Finn, 2023, L4DC.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions

S. Levine, Karol Hausman, Ofir Nachum, 2023, CoRL.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

MOPO: Model-based Offline Policy Optimization

James Y. Zou, S. Levine, Chelsea Finn, 2020, NeurIPS.

Video Language Planning

Peter R. Florence, L. Kaelbling, Jonathan Tompson, 2023, ArXiv.

What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?

Karol Hausman, Tianhe Yu, Kaylee Burns, 2023, ArXiv.

Unsupervised Visuomotor Control through Distributional Planning Networks pdf

Chelsea Finn, Dorsa Sadigh, Tianhe Yu, 2019, Robotics: Science and Systems.

Efficiently Identifying Task Groupings for Multi-Task Learning pdf

Chelsea Finn, Ehsan Amid, Rohan Anil, 2021, NeurIPS.

Multi-task Learning

Christopher Fifty, Tianhe Yu, Rohan Anil, 2020, Transfer Learning.

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Karol Hausman, Ted Xiao, Tianhe Yu, 2024, ArXiv.

One-Shot Composition of Vision-Based Skills from Demonstration

Pieter Abbeel, Chelsea Finn, Tianhe Yu, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).