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2020 – today
- 2024
[j1]Yuxiao Chen
, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(2): 987-994 (2024)- [c18]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: 453-463 - [c17]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: 6806-6812 - [i24]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 abs/2406.12095 (2024) - [i23]Christopher Diehl, Péter Karkus, Sushant Veer, Marco Pavone, Torsten Bertram:
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. CoRR abs/2410.09681 (2024) - [i22]Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin:
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CoRR abs/2410.12019 (2024) - [i21]Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Péter Karkus:
Learning Multiple Initial Solutions to Optimization Problems. CoRR abs/2411.02158 (2024) - [i20]Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CoRR abs/2412.05334 (2024) - 2023
- [c16]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA 2023: 1507-1513 - [c15]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA 2023: 5558-5565 - [c14]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. ICRA 2023: 7902-7908 - [i19]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. CoRR abs/2301.11902 (2023) - [i18]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 abs/2304.00673 (2023) - [i17]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 abs/2310.05885 (2023) - [i16]Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. CoRR abs/2310.18301 (2023) - 2022
- [c13]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL 2022: 2170-2180 - [i15]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR abs/2210.14584 (2022) - [i14]Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone:
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR abs/2211.04878 (2022) - [i13]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR abs/2212.06437 (2022) - 2021
- [c12]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR 2021: 2815-2825 - [i12]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR abs/2105.07593 (2021) - 2020
- [c11]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c10]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c9]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA 2020: 4753-4759 - [i11]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i10]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR abs/2005.09530 (2020) - [i9]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 abs/2009.05524 (2020) - [i8]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 abs/2010.01298 (2020)
2010 – 2019
- 2019
- [c8]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - [c7]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 - [i7]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - [i6]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i5]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - 2018
- [c6]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks with Application to Visual Localization. CoRL 2018: 169-178 - [i4]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR abs/1805.08975 (2018) - [i3]Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR abs/1807.06696 (2018) - 2017
- [c5]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS 2017: 4694-4704 - [i2]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR abs/1703.06692 (2017) - 2016
- [c4]Péter Karkus, Glenn Wagner, Howie Choset:
Recursive Constraint Manifold Subsearch for Multirobot Path Planning with Cooperative Tasks. SOCS 2016: 54-62 - [i1]Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1612.01746 (2016) - 2014
- [c3]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: 1-3 - 2013
- [c2]László Csaba Burkodi, Tamás Gábor Kiss, Dániel Varga, István Vajk, Péter Karkus:
Team Organization and Participation in the Eurobot 2012 Contest. ACE 2013: 180-185 - [c1]Tamás Gábor Kiss, László Csaba Burkodi, Dániel Varga, István Vajk, Péter Karkus:
The RobonAUT Robot Construction Contest in 2013. ACE 2013: 186-191
Coauthor Index
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