Deep Learning | Publication Areas

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}}

B. Ai, W. Gao, Vinay, and D. Hsu. Deep visual navigation under partial observability. In Proc. IEEE Int. Conf. on Robotics & Automation, 2022.
BibTeX PDF

@inproceedings{AiGao22,
	author = {B. Ai and W. Gao and Vinay and  D. Hsu},
	bib2html_pubtype = {Refereed Conference and Workshop},
	bib2html_rescat = {Deep Learning, Navigation},
	booktitle = {Proc. IEEE Int. Conf. on Robotics & Automation},
	title = {Deep Visual Navigation under Partial Observability},
	year = {2022}}

X. Ma, P. Karkus, D. Hsu, W.S. Lee, and N. Ye. Discriminative particle filter reinforcement learning for complex partial observations. In Proc. Int. Conf. on Learning Representations, 2020.
BibTeX PDF

@InProceedings{MaKar20b,
 Bib2Html_Pubtype = {Refereed Conference and Workshop},
 Bib2Html_Rescat = {Deep Learning, Reinforcement Learning},
 Author = 	 {X. Ma and P. Karkus and D. Hsu and W.S. Lee and N. Ye},
 Title = 	 {Discriminative Particle Filter Reinforcement Learning For Complex Partial Observations},
 Booktitle = ICLR,
 Year = 	 {2020},
}

X. Ma, P. Karkus, D. Hsu, and W.S. Lee. Particle filter recurrent neural networks. In Proc. AAAI Conf. on Artificial Intelligence, 2020.
BibTeX PDF

@InProceedings{MaKar20a,
 Bib2Html_Pubtype = {Refereed Conference and Workshop},
 Bib2Html_Rescat = {Deep Learning},
 Author = 	 {X. Ma and P. Karkus and D. Hsu and W.S. Lee},
 Title = 	 {Particle Filter Recurrent Neural Networks},
 Booktitle = AAAI,
 Year = 	 {2020},
}

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.
BibTeX PDF

@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}}

J.K. Li, D. Hsu, and W.S. Lee. Push-Net: Deep planar pushing for objects with unknown physical properties. In Proc. Robotics: Science & Systems, 2018.
BibTeX PDF

@inproceedings{LiHsu18,
        Author = {J.K. Li and D. Hsu and W.S. Lee},
        Bib2Html_Pubtype = {Refereed Conference and Workshop},
        Bib2Html_Rescat = {Deep Learning},
        Booktitle =  {Proc. Robotics: Science \& Systems},
        Title = {Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties},
        Year = {2018}}

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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