N. Ye, A. Somani, D. Hsu, and W. Lee. DESPOT: Online POMDP planning with regularization. J. Artificial Intelligence Research, 58:231–266, 2017.
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Y.F. Luo, H.Y. Bai, D. Hsu, and W.S. Lee. Importance sampling for online planning under uncertainty. In Algorithmic Foundations of Robotics XII – Proc. Int. Workshop on the Algorithmic Foundations of Robotics (WAFR). 2016.
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M. Chen, E. Frazzoli, D. Hsu, and W.S. Lee. POMDP-Lite for robust planning under uncertainty. In Proc. IEEE Int. Conf. on Robotics & Automation, 2016.
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Z. Zhang, D. Hsu, W.S. Lee, Z.W. Lim, and A. Bai. PLEASE: Palm leaf search for POMDPs with large observation spaces. In Proc. Int. Conf. on Automated Planning & Scheduling, 2015.
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Z. Zhang, D. Hsu, and L.S. Lee. Covering number for efficient heuristic-based POMDP planning. In Proc. Int. Conf. on Machine Learning. 2014.
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H.Y. Bai, D. Hsu, and W.S. Lee. Integrated perception and planning in the continuous space: A POMDP approachInt. J. Robotics Research, 33(9):1288–1302, 2014.
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H.Y. Bai, D. Hsu, and W.S. Lee. Integrated perception and planning in the continuous space: A POMDP approach. In Proc. Robotics: Science and Systems, 2013.
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A. Somani, N. Ye, D. Hsu, and W.S. Lee. DESPOT: Online POMDP planning with regularization. In Advances in Neural Information Processing Systems (NIPS). 2013.
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H. Kurniawati and Y. Du and D. Hsu and W.S. Lee. Motion planning under uncertainty for robotic tasks with long time horizonsInt. J. Robotics Research, 30(3):308-323, 2011.
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Z.W. Lim, D. Hsu, and W.S. Lee. Monte Carlo value iteration with macro-actions. In Advances in Neural Information Processing Systems (NIPS), 2011.
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S.C.W. Ong, S.W. Png, D. Hsu, and W.S. Lee. Planning under Uncertainty for Robotic Tasks with Mixed ObservabilityInt. J. Robotics Research, 29(8):1053–1068, 2010.
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H.Y. Bai and D. Hsu and W.S. Lee and V.A. Ngo. Monte Carlo value iteration for continuous-state POMDPs. In D. Hsu et al., editors, Algorithmic Foundations of Robotics IX—Proc. Int. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2010.
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S.C.W. Ong, S.W. Png, D. Hsu, and W.S. Lee. POMDPs for robotic tasks with mixed observability. In Proc. Robotics: Science and Systems, 2009.
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H. Kurniawati, Y. Du, D. Hsu, and W.S. Lee. Motion planning under uncertainty for robotic tasks with long time horizons. In Proc. Int. Symp. on Robotics Research, 2009.
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D. Hsu, W.S. Lee, and N. Rong. What makes some POMDP problems easy to approximate?In Advances in Neural Information Processing Systems (NIPS), 2007.
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H. Kurniawati, D. Hsu, and W.S. Lee. SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces. In Proc. Robotics: Science and Systems, 2008.
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D. Hsu, W.S. Lee, and N. Rong. Accelerating point-based POMDP algorithms through successive approximations of the optimal reachable space. Technical Report TRA4/07, National University of Singapore. School of Computing, 2007.
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