Anahita Mohseni-Kabir
Anahita Mohseni-Kabir
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Interactive hierarchical task learning from a single demonstration
A Mohseni-Kabir, C Rich, S Chernova, CL Sidner, D Miller
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human …, 2015
Simultaneous learning of hierarchy and primitives for complex robot tasks
A Mohseni-Kabir, C Li, V Wu, D Miller, B Hylak, S Chernova, D Berenson, ...
Autonomous Robots 43 (4), 859-874, 2019
Towards robot adaptability in new situations
A Boteanu, D Kent, A Mohseni-Kabir, C Rich, S Chernova
2015 AAAI Fall Symposium Series, 2015
Model-based adaptation for robotics software
J Aldrich, D Garlan, C Kästner, C Le Goues, A Mohseni-Kabir, I Ruchkin, ...
IEEE Software 36 (2), 83-90, 2019
Learning partial ordering constraints from a single demonstration
A Mohseni-Kabir, C Rich, S Chernova
Proceedings of the 2014 ACM/IEEE international conference on Human-robot …, 2014
Collaborative learning of hierarchical task networks from demonstration and instruction
A Mohseni-Kabir
Worcester Polytechnic Institute, 2015
What's in a primitive? Identifying reusable motion trajectories in narrated demonstrations
A Mohseni-Kabir, V Wu, S Chernova, C Rich
2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016
Robot Task Interruption by Learning to Switch Among Multiple Models.
A Mohseni-Kabir, MM Veloso
IJCAI, 4943-4949, 2018
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution
A Boteanu, A St. Clair, A Mohseni-Kabir, C Saldanha, S Chernova
Big data 4 (4), 217-235, 2016
Interaction-aware multi-agent reinforcement learning for mobile agents with individual goals
A Mohseni-Kabir, D Isele, K Fujimura
2019 International Conference on Robotics and Automation (ICRA), 3370-3376, 2019
Identifying reusable primitives in narrated demonstrations
A Mohseni-Kabir, S Chernova, C Rich
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2016
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time
A Mohseni-Kabir, M Veloso, M Likhachev
Proceedings of the International Conference on Automated Planning and …, 2020
System and method for multi-agent reinforcement learning in a multi-agent environment
DF Isele, K Fujimura, A Mohseni-Kabir
US Patent App. 16/390,224, 2020
Exploration with Expert Policy Advice
A Khadke, A Agarwal, A Mohseni-Kabir, D Schwab
SLHAP: Simultaneous Learning of Hierarchy and Primitives
A Mohseni-Kabir, C Li, V Wu, D Miller, B Hylak, S Chernova, D Berenson, ...
Proceedings of the Companion of the 2017 ACM/IEEE International Conference …, 2017
When Should a Service Robot Switch Tasks? A Learning-Based Approach for Interrupting Task Execution
A Mohseni-Kabir, M Veloso
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