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Huihan Liu
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2020 – today
- 2024
- [i10]Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu:
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning. CoRR abs/2403.00929 (2024) - 2023
- [c6]Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu:
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. Robotics: Science and Systems 2023 - [i9]Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu:
Model-Based Runtime Monitoring with Interactive Imitation Learning. CoRR abs/2310.17552 (2023) - [i8]Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng:
Interactive Robot Learning from Verbal Correction. CoRR abs/2310.17555 (2023) - 2022
- [c5]Soroush Nasiriany, Huihan Liu, Yuke Zhu:
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. ICRA 2022: 7477-7484 - [i7]Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu:
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment. CoRR abs/2211.08416 (2022) - 2021
- [c4]Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine:
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. ICLR 2021 - [i6]Soroush Nasiriany, Huihan Liu, Yuke Zhu:
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks. CoRR abs/2110.03655 (2021) - 2020
- [i5]Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine:
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. CoRR abs/2011.10024 (2020)
2010 – 2019
- 2019
- [c3]Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos:
Consensus Adversarial Domain Adaptation. AAAI 2019: 5997-6004 - [c2]Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos:
WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. CVPR Workshops 2019: 426-433 - [c1]Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. ICMLA 2019: 1702-1709 - [i4]Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks. CoRR abs/1910.02217 (2019) - [i3]Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos:
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure. CoRR abs/1910.07899 (2019) - 2018
- [i2]Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University. CoRR abs/1809.05142 (2018) - [i1]Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos:
Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso. CoRR abs/1810.10533 (2018)
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