Péter Karkus

Boris Ivanovic

Claire J. Tomlin

CoRR, 2024

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Partial-View Object View Synthesis via Filtering Inversion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

[BibT_eX]

[DOI]

CoRR, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Tree-structured Policy Planning with Learned Behavior Models.

[BibT_eX]

[DOI]

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

2022

Foundation Models for Semantic Novelty in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

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

[BibT_eX]

[DOI]

Shaojun Cai

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.

[BibT_eX]

[DOI]

CoRR, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

CoRR, 2020

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

[BibT_eX]

[DOI]

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

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.

[BibT_eX]

[DOI]

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

Particle Filter Recurrent Neural Networks.

[BibT_eX]

[DOI]

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

2019

Differentiable Algorithm Networks for Composable Robot Learning.

[BibT_eX]

[DOI]

Xiao Ma

Leslie Pack Kaelbling

Tomás Lozano-Pérez

Proceedings of the Robotics: Science and Systems XV, 2019

Factored Contextual Policy Search with Bayesian optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Particle Filter Networks with Application to Visual Localization.

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]