| Qmdp-net: Deep learning for planning under partial observability P Karkus, D Hsu, WS Lee Advances in Neural Information Processing Systems, 4694-4704, 2017 | 105 | 2017 |
| Particle Filter Networks with Application to Visual Localization P Karkus, D Hsu, WS Lee 2nd Conference on Robot Learning, 169-178, 2018 | 50 | 2018 |
| 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 | 38 | 2014 |
| Particle Filter Recurrent Neural Networks X Ma, P Karkus, D Hsu, WS Lee arXiv preprint arXiv:1905.12885, 2019 | 36* | 2019 |
| 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 | 26 | 2019 |
| 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 | 8 | 2017 |
| 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 | 6 | 2020 |
| Factored contextual policy search with Bayesian optimization P Karkus, A Kupcsik, D Hsu, WS Lee arXiv preprint arXiv:1612.01746, 2016 | 6* | 2016 |
| Integrating algorithmic planning and deep learning for partially observable navigation P Karkus, D Hsu, WS Lee arXiv preprint arXiv:1807.06696, 2018 | 4 | 2018 |
| 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 | 3 | 2020 |
| 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 | 2 | 2020 |
| PF-LSTM: Belief state particle filter for LSTM X Ma, P Karkus, D Hsu, WS Lee NeurIPS RLPO Workshop, 2018 | 2 | 2018 |
| 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 | 1 | 2020 |
| Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation P Karkus, S Cai, D Hsu arXiv preprint arXiv:2105.07593, 2021 | | 2021 |
| Differentiable Mapping Networks: Learning Task-Oriented Latent Maps with Spatial Structure P Karkus, A Angelova, R Jonschkowski | | 2019 |
| Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks P Karkus, G Wagner, H Choset Ninth Annual Symposium on Combinatorial Search, 2016 | | 2016 |
| On-chip generation and demultiplexing of quantum correlated photons using silicon-silica monolithic waveguide platform N Matsuda, P Karkus, H Nishi, T Tsuchizawa, WJ Munro, H Takesue, ... 2014 The European Conference on Optical Communication (ECOC), 1-3, 2014 | | 2014 |
| On-chip generation and spatial separation of quantum correlated photon pairs using Si-silica monolithic waveguide platform P Karkus, N Matsuda, H Nishi, T Tsuchizawa, WJ Munro, H Takesue, ... IEICE Technical Report; IEICE Tech. Rep., 0 | | |
David HsuProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
