Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid Hsu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j41]Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
:
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity. IEEE Trans. Biomed. Eng. 70(1): 216-227 (2023)- [j40]Mikko Lauri, David Hsu, Joni Pajarinen:
Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics 39(1): 21-40 (2023) - [i45]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRR abs/2302.06199 (2023) - [i44]Yiyuan Lee, Katie Lee, Panpan Cai, David Hsu, Lydia E. Kavraki:
The Planner Optimization Problem: Formulations and Frameworks. CoRR abs/2303.06768 (2023) - 2022
- [j39]Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
GAMMA: A General Agent Motion Model for Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 3499-3506 (2022) - [c110]Mohamad Hosein Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL 2022: 199-211 - [c109]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRL 2022: 1092-1103 - [c108]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA 2022: 8266-8273 - [c107]Bo Ai, Wei Gao, Vinay, David Hsu:
Deep Visual Navigation under Partial Observability. ICRA 2022: 9439-9446 - [c106]Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman:
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG. MIDL 2022: 261-281 - [i43]Wei Gao, David Hsu, Wee Sun Lee:
Context-Hierarchy Inverse Reinforcement Learning. CoRR abs/2202.12597 (2022) - [i42]Yiqing Xu, Wei Gao, David Hsu:
Receding Horizon Inverse Reinforcement Learning. CoRR abs/2206.04477 (2022) - [i41]Mikko Lauri, David Hsu, Joni Pajarinen:
Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR abs/2209.10342 (2022) - [i40]Mohamad H. Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR abs/2209.11422 (2022) - [i39]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR abs/2210.00215 (2022) - [i38]Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR abs/2210.13066 (2022) - 2021
- [j38]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. 40(2-3) (2021) - [c105]Danielle Currey, David Hsu, Raheel Ahmed, Archana Venkataraman, Jeff Craley:
Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks. CISS 2021: 1-6 - [c104]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR 2021: 2815-2825 - [c103]Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus:
Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA 2021: 5261-5267 - [c102]Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng:
Hindsight Trust Region Policy Optimization. IJCAI 2021: 3335-3341 - [c101]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems 2021 - [c100]Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning. Robotics: Science and Systems 2021 - [c99]Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng:
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. Robotics: Science and Systems 2021 - [e6]Aleksandra Faust, David Hsu, Gerhard Neumann:
Conference on Robot Learning, 8-11 November 2021, London, UK. Proceedings of Machine Learning Research 164, PMLR 2021 [contents] - [i37]Panpan Cai, David Hsu:
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. CoRR abs/2101.03834 (2021) - [i36]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR abs/2104.12149 (2021) - [i35]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR abs/2105.07593 (2021) - [i34]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. CoRR abs/2107.08865 (2021) - [i33]Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng:
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. CoRR abs/2108.11092 (2021) - [i32]Bo Ai, Wei Gao, Vinay, David Hsu:
End-to-End Partially Observable Visual Navigation in a Diverse Environment. CoRR abs/2109.07752 (2021) - 2020
- [j37]Mohit Shridhar, Dixant Mittal, David Hsu:
INGRESS: Interactive visual grounding of referring expressions. Int. J. Robotics Res. 39(2-3) (2020) - [j36]Harold Soh, Yaqi Xie, Min Chen, David Hsu:
Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. 39(2-3) (2020) - [j35]Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober:
Deep Learning and Machine Learning in Robotics [From the Guest Editors]. IEEE Robotics Autom. Mag. 27(2): 20-21 (2020) - [c98]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c97]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL 2020: 959-972 - [c96]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c95]Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. ICRA 2020: 4023-4029 - [i31]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i30]Siwei Chen, Xiao Ma, David Hsu:
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR abs/2007.06207 (2020) - [i29]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR abs/2008.02430 (2020) - [i28]Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. CoRR abs/2011.03813 (2020) - [i27]Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
Simulating Autonomous Driving in Massive Mixed Urban Traffic. CoRR abs/2011.05767 (2020)
2010 – 2019
- 2019
- [j34]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38(2-3) (2019) - [c94]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI 2019: 39-47 - [c93]Neha P. Garg, David Hsu, Wee Sun Lee:
Learning To Grasp Under Uncertainty Using POMDPs. ICRA 2019: 2751-2757 - [c92]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - [c91]Harold Soh, Pan Shu, Min Chen, David Hsu:
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI 2019: 6226-6230 - [c90]Malika Meghjani, Yuanfu Luo, Qi Heng Ho, Panpan Cai, Shashwat Verma, Daniela Rus, David Hsu:
Context and Intention Aware Planning for Urban Driving. IROS 2019: 2891-2898 - [c89]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems 2019 - [c88]Neha Priyadarshini Garg, David Hsu, Wee Sun Lee:
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems 2019 - [c87]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems 2019 - [i26]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - [i25]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i24]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR abs/1905.12197 (2019) - [i23]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - [i22]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR abs/1909.05329 (2019) - [i21]Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. CoRR abs/1911.04074 (2019) - 2018
- [j33]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. 3(4): 3418-3425 (2018) - [c86]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks with Application to Visual Localization. CoRL 2018: 169-178 - [c85]Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. CVPR 2018: 4588-4596 - [c84]Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh:
Human Trust in Robot Capabilities across Tasks. HRI (Companion) 2018: 241-242 - [c83]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. HRI 2018: 307-315 - [c82]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems 2018 - [c81]Jue Kun Li, Wee Sun Lee, David Hsu:
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems 2018 - [c80]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. Robotics: Science and Systems 2018 - [c79]Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems 2018 - [c78]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR 2018: 921-938 - [i20]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. CoRR abs/1801.04099 (2018) - [i19]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR abs/1802.06215 (2018) - [i18]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR abs/1805.08975 (2018) - [i17]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR abs/1805.11833 (2018) - [i16]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. CoRR abs/1806.03831 (2018) - [i15]Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR abs/1807.01866 (2018) - [i14]Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR abs/1807.06696 (2018) - [i13]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR abs/1812.04728 (2018) - 2017
- [j32]Stefanos Nikolaidis, David Hsu, Siddhartha S. Srinivasa:
Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. 36(5-7): 618-634 (2017) - [j31]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. 58: 231-266 (2017) - [c77]Prince Singh, Min Chen, Luca Carlone, Sertac Karaman, Emilio Frazzoli, David Hsu:
Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering. ACC 2017: 5787-5794 - [c76]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL 2017: 185-194 - [c75]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. HRI 2017: 294-302 - [c74]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS 2017: 4694-4704 - [c73]Ziquan Lan, Mohit Shridhar, David Hsu, Shengdong Zhao:
XPose: Reinventing User Interaction with Flying Cameras. Robotics: Science and Systems 2017 - [c72]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Shortest Path under Uncertainty: Exploration versus Exploitation. UAI 2017 - [i12]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. CoRR abs/1701.07851 (2017) - [i11]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR abs/1703.06692 (2017) - [i10]Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017) - [i9]Mohit Shridhar, David Hsu:
Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction. CoRR abs/1707.05720 (2017) - [i8]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR abs/1710.05627 (2017) - 2016
- [j30]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive informative path planning in metric spaces. Int. J. Robotics Res. 35(5): 585-598 (2016) - [j29]José Neira, Dongjun Lee, David Hsu:
Special Issue on the 2015 Robotics: Science & Systems Conference. Int. J. Robotics Res. 35(14): 1679-1680 (2016) - [c71]David Hsu:
Robots in Harmony with Humans. HAI 2016: 1 - [c70]Stefanos Nikolaidis, Anton Kuznetsov, David Hsu, Siddhartha S. Srinivasa:
Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model. HRI 2016: 75-82 - [c69]Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee:
POMDP-lite for robust robot planning under uncertainty. ICRA 2016: 5427-5433 - [c68]Jue Kun Li, David Hsu, Wee Sun Lee:
Act to See and See to Act: POMDP planning for objects search in clutter. IROS 2016: 5701-5707 - [c67]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance Sampling for Online Planning under Uncertainty. WAFR 2016: 240-255 - [c66]Michael C. Koval, David Hsu, Nancy S. Pollard, Siddhartha S. Srinivasa:
Configuration Lattices for Planar Contact Manipulation Under Uncertainty. WAFR 2016: 768-783 - [e5]David Hsu, Nancy M. Amato, Spring Berman, Sam Ade Jacobs:
Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18 - June 22, 2016. 2016, ISBN 978-0-9923747-2-3 [contents] - [i7]Min Chen, Emilio Frazzoli, David Hsu, Wee Sun Lee:
POMDP-lite for Robust Robot Planning under Uncertainty. CoRR abs/1602.04875 (2016) - [i6]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR abs/1603.06390 (2016) - [i5]Michael C. Koval, David Hsu, Nancy S. Pollard, Siddhartha S. Srinivasa:
Configuration Lattices for Planar Contact Manipulation Under Uncertainty. CoRR abs/1605.00169 (2016) - [i4]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. CoRR abs/1609.03250 (2016) - [i3]Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1612.01746 (2016) - 2015
- [c65]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS 2015: 249-258 - [c64]Haoyu Bai, Shaojun Cai, Nan Ye, David Hsu, Wee Sun Lee:
Intention-aware online POMDP planning for autonomous driving in a crowd. ICRA 2015: 454-460 - [c63]Volkan Sezer, Tirthankar Bandyopadhyay, Daniela Rus, Emilio Frazzoli, David Hsu:
Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent. IROS 2015: 3578-3585 - [c62]Kegui Wu, Wee Sun Lee, David Hsu:
POMDP to the Rescue: Boosting Performance for Robocup Rescue. IROS 2015: 5294-5299 - [c61]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) 2015: 161-176 - [c60]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Stochastic Optimization: From Sets to Paths. NIPS 2015: 1585-1593 - [c59]Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu:
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup 2015: 377-388 - [c58]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS 2015: 238-240 - [e4]Lydia E. Kavraki, David Hsu, Jonas Buchli:
Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015. 2015, ISBN 978-0-9923747-1-6 [contents] - 2014
- [j28]Anna M. Ritz, Ali Bashir, Suzanne S. Sindi, David Hsu, Iman Hajirasouliha, Benjamin J. Raphael:
Characterization of structural variants with single molecule and hybrid sequencing approaches. Bioinform. 30(24): 3458-3466 (2014) - [j27]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated perception and planning in the continuous space: A POMDP approach. Int. J. Robotics Res. 33(9): 1288-1302 (2014) - [j26]Xinxi Wang, Yi Wang, David Hsu, Ye Wang:
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. ACM Trans. Multim. Comput. Commun. Appl. 11(1): 7:1-7:22 (2014) - [c57]Zongzhang Zhang, David Hsu, Wee Sun Lee:
Covering Number for Efficient Heuristic-based POMDP Planning. ICML 2014: 28-36 - [c56]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive Informative Path Planning in Metric Spaces. WAFR 2014: 283-300 - 2013
- [c55]Pratik Chaudhari, Sertac Karaman, David Hsu, Emilio Frazzoli:
Sampling-based algorithms for continuous-time POMDPs. ACC 2013: 4604-4610 - [c54]Sucheendra K. Palaniappan, Benjamin M. Gyori, Bing Liu, David Hsu, P. S. Thiagarajan:
Statistical Model Checking Based Calibration and Analysis of Bio-pathway Models. CMSB 2013: 120-134 - [c53]Haoyu Bai, David Hsu, Wee Sun Lee:
Planning how to learn. ICRA 2013: 2853-2859 - [c52]Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. NIPS 2013: 1772-1780 - [c51]Haoyu Bai, David Hsu, Wee Sun Lee:
Integrated Perception and Planning in the Continuous Space: A POMDP Approach. Robotics: Science and Systems 2013 - [e3]Paul Newman, Dieter Fox, David Hsu:
Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24 - June 28, 2013. 2013, ISBN 978-981-07-3937-9 [contents] - [i2]Xinxi Wang, Yi Wang, David Hsu, Ye Wang:
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. CoRR abs/1311.6355 (2013) - 2012
- [j25]David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin:
Special Issue on the Ninth International Workshop on Algorithmic Foundations of Robotics (WAFR). Int. J. Robotics Res. 31(2): 127-128 (2012) - [c50]Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee:
Monte Carlo Bayesian Reinforcement Learning. ICML 2012 - [c49]