Péter Karkus

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Autonomous Vehicles

Planning Under Partial Observability

Reinforcement Learning

Receding Horizon

Top Venues

IEEE Robotics Autom. Lett.

Publications

Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone
Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. 9 (2) (2024)
Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
Partial-View Object View Synthesis via Filtering Inversion. 3DV (2024)
Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. ICRA (2024)
Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR (2024)
Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. CoRR (2023)
Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA (2023)
Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone
Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. CoRR (2023)
Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
Tree-structured Policy Planning with Learned Behavior Models. ICRA (2023)
Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
Tree-structured Policy Planning with Learned Behavior Models. CoRR (2023)
Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber
Partial-View Object View Synthesis via Filtered Inversion. CoRR (2023)
Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA (2023)
Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL (2022)
Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR (2022)
Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR (2022)
Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR (2022)
Péter Karkus, Shaojun Cai, David Hsu
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR (2021)
Péter Karkus, Shaojun Cai, David Hsu
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR (2021)
Péter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy P. Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR (2020)
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. AAAI (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. CoRR (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian Optimization. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian optimization. ICRA (2019)
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)
Péter Karkus, David Hsu, Wee Sun Lee
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks with Application to Visual Localization. CoRL (2018)
Péter Karkus, David Hsu, Wee Sun Lee
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR (2017)
Péter Karkus, David Hsu, Wee Sun Lee
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS (2017)
Péter Karkus, Glenn Wagner, Howie Choset
Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks. SOCS (2016)
Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian Optimization. CoRR (2016)
Nobuyuki Matsuda, Péter Karkus, Hidetaka Nishi, Tai Tsuchizawa, William J. Munro, Hiroki Takesue, Koji Yamada
On-chip generation and demultiplexing of quantum correlated photons using silicon-silica monolithic waveguide platform. ECOC (2014)
Tamás Gábor Kiss, László Csaba Burkodi, Dániel Varga, István Vajk, Péter Karkus
The RobonAUT Robot Construction Contest in 2013. ACE (2013)
László Csaba Burkodi, Tamás Gábor Kiss, Dániel Varga, István Vajk, Péter Karkus
Team Organization and Participation in the Eurobot 2012 Contest. ACE (2013)