Aidan Curtis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Cognitive maps are generative programs. | Marta Kryven, Cole Wyeth, Aidan Curtis, Kevin Elllis |
| 2025 | ICML | Flow-based Domain Randomization for Learning and Sequencing Robotic Skills. | Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole E. Carey |
| 2024 | CoRL | Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction. | Aidan Curtis, Nishanth Kumar, Jing Cao, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | ICRA | Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. | Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain |
| 2023 | ICRA | Visibility-Aware Navigation Among Movable Obstacles. | Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2022 | AAAI | Discovering State and Action Abstractions for Generalized Task and Motion Planning. | Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | CogSci | Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. | Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete |
| 2022 | ICLR | Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. | Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete |
| 2022 | IJCAI | PG3: Policy-Guided Planning for Generalized Policy Generation. | Ryan Yang, Tom Silver, Aidan Curtis, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | ICRA | Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. | Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Toms Lozano-Prez, Caelan Reed Garrett |
| 2021 | AAAI | Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. | Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2020 | ICML | Flexible and Efficient Long-Range Planning Through Curious Exploration. | Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins |
| 2019 | MOBICOM | HealthSense: Software-defined Mobile-based Clinical Trials. | Aidan Curtis, Amruta Pai, Jian Cao, Nidal Moukaddam, Ashutosh Sabharwal |