Jonathan A. DeCastro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICRA | Computational Teaching for Driving via Multi-Task Imitation Learning. | Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John J. Leonard, Tiffany L. Chen, Guy Rosman, Avinash Balachandran |
| 2025 | ICRA | Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions. | Haimin Hu, Jaime Fernndez Fisac, Naomi Ehrich Leonard, Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman |
| 2024 | CoRL | Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing. | Jonathan A. DeCastro, Andrew Silva, Deepak E. Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman |
| 2022 | CVPR | HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving. | Deepak E. Gopinath, Jonathan A. DeCastro, Guy Rosman, Emily Sumner, Allison Morgan, Shabnam Hakimi, Simon Stent |
| 2022 | ICRA | Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. | Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa |
| 2022 | WAFR | Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids. | Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa |
| 2021 | CoRL | Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. | Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus |
| 2021 | ICML | The Logical Options Framework. | Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus |
| 2020 | CoRL | Differentiable Logic Layer for Rule Guided Trajectory Prediction. | Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus |
| 2020 | IROS | Behaviorally Diverse Traffic Simulation via Reinforcement Learning. | Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon |
| 2018 | WAFR | Counterexample-Guided Safety Contracts for Autonomous Driving. | Jonathan A. DeCastro, Lucas Liebenwein, Cristian Ioan Vasile, Russ Tedrake, Sertac Karaman, Daniela Rus |
| 2017 | ISRR | Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. | Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus |
| 2015 | ICRA | Dynamics-driven adaptive abstraction for reactive high-level mission and motion planning. | Jonathan A. DeCastro, Vasumathi Raman, Hadas Kress-Gazit |
| 2015 | ISRR | Collision-Free Reactive Mission and Motion Planning for Multi-robot Systems. | Jonathan A. DeCastro, Javier Alonso-Mora, Vasumathi Raman, Daniela Rus, Hadas Kress-Gazit |
| 2013 | IROS | Guaranteeing reactive high-level behaviors for robots with complex dynamics. | Jonathan A. DeCastro, Hadas Kress-Gazit |