Tianhe Yu

Orcid: 0000-0001-8121-7620

According to our database1, Tianhe Yu authored at least 41 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
CoRR, 2023

Video Language Planning.
CoRR, 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.
CoRR, 2023

Scaling Robot Learning with Semantically Imagined Experience.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023


Contrastive Example-Based Control.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Train Offline, Test Online: A Real Robot Learning Benchmark.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023




Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Single image dehazing based on multi-scale segmentation and deep learning.
Mach. Vis. Appl., 2022

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL.
CoRR, 2022

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How to Leverage Unlabeled Data in Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning at Multiple Frequencies.
Proceedings of the Conference on Robot Learning, 2022

2021
Adaptive superpixel-based multi-object pedestrian recognition.
Mach. Vis. Appl., 2021

Image Enhancement Algorithm Based on Image Spatial Domain Segmentation.
Comput. Informatics, 2021

COMBO: Conservative Offline Model-Based Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Visual Adversarial Imitation Learning using Variational Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficiently Identifying Task Groupings for Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Offline Reinforcement Learning from Images with Latent Space Models.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
Variable-Shot Adaptation for Online Meta-Learning.
CoRR, 2020

Measuring and Harnessing Transference in Multi-Task Learning.
CoRR, 2020

MOPO: Model-based Offline Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gradient Surgery for Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Expressivity of Neural Networks for Deep Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Unsupervised Visuomotor Control through Distributional Planning Networks.
Proceedings of the Robotics: Science and Systems XV, 2019

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

One-Shot Composition of Vision-Based Skills from Demonstration.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for Genome Sequencing.
PhD thesis, 2018

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks.
CoRR, 2018

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for Genome Sequencing.
Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for DNA Sequencing.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2017
Real-time user-guided image colorization with learned deep priors.
ACM Trans. Graph., 2017

Generalizing Skills with Semi-Supervised Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

One-Shot Visual Imitation Learning via Meta-Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Calibration Method to the Temperature Measuring System Based on Color CCD Camera.
Proceedings of the Advances in Image and Graphics Technologies - 11th Chinese Conference, 2016


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