Integrating Planning and Learning | Publication Areas

Z. Zhao, W.S. Lee, and D. Hsu. Large Language Models as commonsense knowledge for large-scale task planning. In Advances in Neural Information Processing Systems, 2023.
BibTeX PDF

@inproceedings{
Zhao23large,
title={Large Language Models as Commonsense Knowledge for Large-Scale Task Planning},
author={Zirui Zhao and Wee Sun Lee and David Hsu},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
}

Z. Zhao, W.S. Lee, and D. Hsu. Differentiable parsing and visual grounding of natural language instructions for object placement. In Proc. IEEE Int. Conf. on Robotics & Automation, 2023.
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@inproceedings{AiGao22,
	author = {Z. Zhao and W.S. Lee and D. Hsu},
	booktitle = ICRA,
	title = {Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement},
	year = {2023}}

P. Cai and D. Hsu. Closing the planning-learning loop with application to autonomous driving. IEEE Trans. on Robotics, 39(2):998–1011, 2023.
BibTeX PDF

@article{CaiHsu23,
	title = {Closing the Planning-Learning Loop with Application to Autonomous Driving},
	author = {P. Cai and D. Hsu},
	journal = TRO,
	volume = {39},
	number = {2},
	pages = {998-1011},
	year = {2023}}

M. H. Danesh, P. Cai, and D. Hsu. LEADER: Learning attention over driving behaviors for planning under uncertainty. In Proc. Conference on Robot Learning, 2022.
BibTeX PDF

@inproceedings{
danesh2022leader,
title={{LEADER}: Learning Attention over Driving Behaviors for Planning under Uncertainty},
author={Mohamad Hosein Danesh and Panpan Cai and David Hsu},
booktitle={Proc. Conference on Robot Learning},
year={2022},
}

Y. Lee, P. Cai, and D. Hsu. MAGIC: Learning macro-actions for online POMDP planning. In Proc. Robotics: Science & Systems, 2021.
BibTeX PDF Video

@inproceedings{LeeCai21,
	Author = {Y. Lee and P. Cai, and D. Hsu },
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {POMDP Planning, Autonomous Driving},
	Booktitle = RSS,
	Title = {MAGIC: Learning Macro-Actions for Online POMDP Planning},
	Year = {2021}}

N.P. Garg, D. Hsu, and W.S. Lee. Learning to grasp under uncertainty using POMDPs. In Proc. IEEE Int. Conf. on Robotics & Automation, 2019.
BibTeX PDF

@inproceedings{GarHsu19,
	Author = {N.P. Garg and D. Hsu and W.S. Lee},
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {Deep Learning},
	Booktitle = ICRA,
	Title = {Learning To Grasp Under Uncertainty Using POMDPs},
	Year = {2019}}

P.P. Cai, Y.F. Luo, A. Saxena, D. Hsu, and W.S. Lee. LeTS-Drive: Driving in a crowd by learning from tree search. In Proc. Robotics: Science & Systems, 2019.
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@inproceedings{CaiLuo19,
	Author = {P.P. Cai and Y.F. Luo and A. Saxena and D. Hsu and W.S. Lee},
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {POMDP Planning,Deep Learning,Autonomous Driving},
	Booktitle = RSS,
	Title = {{LeTS-Drive}: {Driving} in a Crowd by Learning from Tree Search},
	Year = {2019}}

P. Karkus, D. Hsu, and W.S. Lee. Particle filter networks with application to visual localization. In Proc. Conference on Robot Learning. 2018.
BibTeX PDF

@incollection{KarHsu18,
	Author = {P. Karkus and D. Hsu and W.S. Lee},
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {Deep Learning, Planning and Learning},
	Booktitle = CORL,
	Editor = {S. Levine and V. Vanhoucke and K. Goldberg},
	Pages = {169--178},
	Series = PMLR,
	Title = {Particle Filter Networks with Application to Visual Localization},
	Volume = {87},
	Year = {2018}}

M. Chen, D. Hsu, and W.S. Lee. Guided exploration of human intentions for human-robot interaction. In Algorithmic Foundations of Robotics XIII—Proc. Int. Workshop on the Algorithmic Foundations of Robotics (WAFR). 2018.
BibTeX PDF

@incollection{CheHsu18,
	Author = {Chen, M. and Hsu, D. and Lee, W.S.},
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {Planning and Learning under Uncertainty},
	Booktitle = WAFR18,
	Title = {Guided Exploration of Human Intentions for Human-Robot Interaction},
	Year = {2018}}

P. Karkus, D. Hsu, and W. Lee. QMDP-Net: Deep learning for planning under partial observability. In Advances in Neural Information Processing Systems, 2017.
BibTeX PDF

@inproceedings{KarHsu17,
        Author = {P. Karkus and D. Hsu and W.S. Lee},
        Bib2Html_Pubtype = {Refereed Conference and Workshop},
        Bib2Html_Rescat = {Deep Learning, Planning and Learning},
        Booktitle = {Advances in Neural Information Processing Systems},
        Title = {QMDP-Net: Deep Learning for Planning under Partial Observability},
        Year = {2017}}

W. Gao, D. Hsu, W. Lee, S. Shen, and K. Subramanian. Intention-Net: Integrating planning and deep learning for goal-directed autonomous navigation. In S. Levine and V. V. and K. Goldberg, editors, Conference on Robot Learning, volume 78 of Proc. Machine Learning Research, pages 185–194. 2017.
BibTeX PDF

@incollection{GaoHsu17,
	Author = {W. Gao and D. Hsu and W.S. Lee and S. Shen and K. Subramanian},
	Bib2Html_Pubtype = {Refereed Conference and Workshop},
	Bib2Html_Rescat = {Deep Learning, Planning and Learning},
	Booktitle = {Conference on Robot Learning},
	Editor = {S. Levine and V. Vanhoucke andK. Goldberg},
	Pages = {185-194},
	Series = PMLR,
	Title = {Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation},
	Volume = {78},
	Year = {2017}}

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