Péter Karkus

According to our database, Péter Karkus authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interactive Joint Planning for Autonomous Vehicles.

Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone

IEEE Robotics Autom. Lett., February, 2024

2023

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.

Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone

CoRR, 2023

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.

Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

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

CoRR, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.

Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tree-structured Policy Planning with Learned Behavior Models.

Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Foundation Models for Semantic Novelty in Reinforcement Learning.

Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone

CoRR, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.

Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

Proceedings of the Conference on Robot Learning, 2022

2021

Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation.

Péter Karkus, Shaojun Cai, David Hsu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban.

Péter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy P. Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber

CoRR, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.

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

CoRR, 2020

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization.

Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.

Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye

Proceedings of the 8th International Conference on Learning Representations, 2020

Particle Filter Recurrent Neural Networks.

Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Differentiable Algorithm Networks for Composable Robot Learning.

Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez

Proceedings of the Robotics: Science and Systems XV, 2019

Factored Contextual Policy Search with Bayesian optimization.

Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation.

Péter Karkus, David Hsu, Wee Sun Lee

CoRR, 2018

Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations.

Péter Karkus, David Hsu, Wee Sun Lee

CoRR, 2018

Particle Filter Networks with Application to Visual Localization.

Péter Karkus, David Hsu, Wee Sun Lee

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

QMDP-Net: Deep Learning for Planning under Partial Observability.

Péter Karkus, David Hsu, Wee Sun Lee

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Factored Contextual Policy Search with Bayesian Optimization.

Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee

CoRR, 2016

Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks.

Péter Karkus, Glenn Wagner, Howie Choset

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

2014

On-chip generation and demultiplexing of quantum correlated photons using silicon-silica monolithic waveguide platform.

Nobuyuki Matsuda, Péter Karkus, Hidetaka Nishi, Tai Tsuchizawa, William J. Munro, Hiroki Takesue, Koji Yamada

Proceedings of the European Conference on Optical Communication, 2014

2013

The RobonAUT Robot Construction Contest in 2013.

Tamás Gábor Kiss, László Csaba Burkodi, Dániel Varga, István Vajk, Péter Karkus

Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Team Organization and Participation in the Eurobot 2012 Contest.

László Csaba Burkodi, Tamás Gábor Kiss, Dániel Varga, István Vajk, Péter Karkus

Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013