Tianhe Yu

Orcid: 0000-0001-8121-7620

According to our database¹, Tianhe Yu authored at least 44 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

ReARTSim: an ReRAM ARray Transient Simulator with GPU optimized runtime acceleration.

[BibT_eX]

[DOI]

Yu Sui

Tianhe Yu

Shiming Song

Neuromorph. Comput. Eng., March, 2024

RRM: Robust Reward Model Training Mitigates Reward Hacking.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Nur Muhammad (Mahi) Shafiullah

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Video Language Planning.

[BibT_eX]

[DOI]

Leslie Pack Kaelbling

Andy Zeng

Jonathan Tompson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Robot Learning with Semantically Imagined Experience.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Contrastive Example-Based Control.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Train Offline, Test Online: A Real Robot Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PaLM-E: An Embodied Multimodal Language Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Single image dehazing based on multi-scale segmentation and deep learning.

[BibT_eX]

[DOI]

Tianhe Yu

Ming Zhu

Haiming Chen

Mach. Vis. Appl., 2022

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL.

[BibT_eX]

[DOI]

CoRR, 2022

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning at Multiple Frequencies.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Adaptive superpixel-based multi-object pedestrian recognition.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2021

Image Enhancement Algorithm Based on Image Spatial Domain Segmentation.

[BibT_eX]

[DOI]

Tianhe Yu

Ming Zhu

Comput. Informatics, 2021

COMBO: Conservative Offline Model-Based Policy Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Variable-Shot Adaptation for Online Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Measuring and Harnessing Transference in Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, 2020

MOPO: Model-based Offline Policy Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unsupervised Visuomotor Control through Distributional Planning Networks.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XV, 2019

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for Genome Sequencing.

[BibT_eX]

[DOI]

Tianhe Yu

PhD thesis, 2018

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

SMEM++: A Pipelined and Time-Multiplexed SMEM Seeding Accelerator for Genome Sequencing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Generalizing Skills with Semi-Supervised Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

One-Shot Visual Imitation Learning via Meta-Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tianhe Yu

Yongjin Zhang

Jingmin Dai

Proceedings of the Advances in Image and Graphics Technologies - 11th Chinese Conference, 2016

Tianhe Yu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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