 Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion PlanningIEEE Robotics and Automation Letters (RA-L), 2024 |
 Planning for Learning Object PropertiesAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Learning Efficient Abstract Planning Models that Choose What to PredictConference on Robot Learning (CoRL), 2022 |
 Classical Planning in Deep Latent SpaceJournal of Artificial Intelligence Research (JAIR), 2021 |
 Learning Symbolic Operators for Task and Motion PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 |
 SPOTTER: Extending Symbolic Planning Operators through Targeted
Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 |
 Online Action RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Leveraging Multiple Environments for Learning and Decision Making: a
Dismantling Use CaseIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 |
