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HyP-DESPOT

P.P. Cai, Y.F. Luo, D. Hsu, and W.S. Lee. HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Research, 40(2–3), 2021.
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This entry was posted on April 29, 2022 by David Hsu.

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Recent News

December 15, 2022
Our work, LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty, has been nominated for the Best Paper Award at Conference on Robot Learning (CoRL) 2022.
August 11, 2022
Our work, DESPOT: Online POMDP Planning with Regularization, has been awarded the IJCAI-JAIR Best Paper Prize 2022
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Our work, SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces, has been awarded the Test of Time Award at Robotics: Science & Systems (RSS) 2021
August 4, 2020
Xiao MA won the 2020 School of Computing Research Achievement Award. Congratulations!
June 10, 2019
Our work on Differential Algorithm Networks has been nominated for the Best Student Paper and Best Systems Paper awards at Robotics: Science & Systems (RSS) 2019.