Péter Karkus

Orcid: 0000-0002-1474-9771

According to our database1, Péter Karkus authored at least 28 papers between 2013 and 2024.

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Bibliography

2024
Interactive Joint Planning for Autonomous Vehicles.
IEEE Robotics Autom. Lett., February, 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features.
CoRR, 2024

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Partial-View Object View Synthesis via Filtering Inversion.
Proceedings of the International Conference on 3D Vision, 2024

2023
Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.
CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tree-structured Policy Planning with Learned Behavior Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Foundation Models for Semantic Novelty in Reinforcement Learning.
CoRR, 2022

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2022

2021
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation.
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.
CoRR, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.
CoRR, 2020

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Particle Filter Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Differentiable Algorithm Networks for Composable Robot Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

Factored Contextual Policy Search with Bayesian optimization.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation.
CoRR, 2018

Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations.
CoRR, 2018

Particle Filter Networks with Application to Visual Localization.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
QMDP-Net: Deep Learning for Planning under Partial Observability.
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.
CoRR, 2016

Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks.
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.
Proceedings of the European Conference on Optical Communication, 2014

2013
The RobonAUT Robot Construction Contest in 2013.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Team Organization and Participation in the Eurobot 2012 Contest.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013


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