| Qmdp-net: Deep learning for planning under partial observability P Karkus, D Hsu, WS Lee Advances in Neural Information Processing Systems, 4694-4704, 2017 | 174 | 2017 |
| Particle Filter Recurrent Neural Networks X Ma, P Karkus, D Hsu, WS Lee arXiv preprint arXiv:1905.12885, 2019 | 129* | 2019 |
| Particle Filter Networks with Application to Visual Localization P Karkus, D Hsu, WS Lee 2nd Conference on Robot Learning, 169-178, 2018 | 96 | 2018 |
| Differentiable algorithm networks for composable robot learning P Karkus, X Ma, D Hsu, LP Kaelbling, WS Lee, T Lozano-Pérez Robotics: Science and Systems, 2019 | 59 | 2019 |
| On-chip generation and demultiplexing of quantum correlated photons using a silicon-silica monolithic photonic integration platform N Matsuda, P Karkus, H Nishi, T Tsuchizawa, WJ Munro, H Takesue, ... Optics express 22 (19), 22831-22840, 2014 | 43 | 2014 |
| Differentiable slam-net: Learning particle slam for visual navigation P Karkus, S Cai, D Hsu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Discriminative particle filter reinforcement learning for complex partial observations X Ma, P Karkus, D Hsu, WS Lee, N Ye arXiv preprint arXiv:2002.09884, 2020 | 30 | 2020 |
| Generation of entangled photons using an arrayed waveguide grating N Matsuda, H Nishi, P Karkus, T Tsuchizawa, K Yamada, WJ Munro, ... Journal of Optics 19 (12), 124005, 2017 | 13 | 2017 |
| Physically embedded planning problems: New challenges for reinforcement learning M Mirza, A Jaegle, JJ Hunt, A Guez, S Tunyasuvunakool, A Muldal, ... arXiv preprint arXiv:2009.05524, 2020 | 10 | 2020 |
| Differentiable mapping networks: Learning structured map representations for sparse visual localization P Karkus, A Angelova, V Vanhoucke, R Jonschkowski 2020 IEEE International Conference on Robotics and Automation (ICRA), 4753-4759, 2020 | 10 | 2020 |
| Integrating algorithmic planning and deep learning for partially observable navigation P Karkus, D Hsu, WS Lee arXiv preprint arXiv:1807.06696, 2018 | 8 | 2018 |
| Factored contextual policy search with Bayesian optimization P Karkus, A Kupcsik, D Hsu, WS Lee arXiv preprint arXiv:1612.01746, 2016 | 8* | 2016 |
| Beyond tabula-rasa: a modular reinforcement learning approach for physically embedded 3d sokoban P Karkus, M Mirza, A Guez, A Jaegle, T Lillicrap, L Buesing, N Heess, ... arXiv preprint arXiv:2010.01298, 2020 | 6 | 2020 |
| Diffstack: A differentiable and modular control stack for autonomous vehicles P Karkus, B Ivanovic, S Mannor, M Pavone Conference on Robot Learning, 2170-2180, 2023 | 3 | 2023 |
| Particle filter networks: End-toend probabilistic localization from visual observations P Karkus, D Hsu, WS Lee arXiv preprint arXiv:1805.08975, 2018 | 3 | 2018 |
| PF-LSTM: Belief state particle filter for LSTM X Ma, P Karkus, D Hsu, WS Lee Proc. NeurIPS RLPO Workshop, 2018 | 2 | 2018 |
| Foundation Models for Semantic Novelty in Reinforcement Learning T Gupta, P Karkus, T Che, D Xu, M Pavone arXiv preprint arXiv:2211.04878, 2022 | 1 | 2022 |
| Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models F Christianos, P Karkus, B Ivanovic, SV Albrecht, M Pavone arXiv preprint arXiv:2210.14584, 2022 | 1 | 2022 |
| Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks P Karkus, G Wagner, H Choset Proceedings of the International Symposium on Combinatorial Search 7 (1), 54-62, 2016 | 1 | 2016 |
| Partial-View Object View Synthesis via Filtered Inversion FY Sun, J Tremblay, V Blukis, K Lin, D Xu, B Ivanovic, P Karkus, ... arXiv preprint arXiv:2304.00673, 2023 | | 2023 |
David HsuProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
