Seuraa
Anahita Mohseni-Kabir
Anahita Mohseni-Kabir
Carnegie Mellon University
Vahvistettu sähköpostiosoite verkkotunnuksessa alumni.cmu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1242015
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, 859-874, 2019
422019
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
392019
Towards robot adaptability in new situations
A Boteanu, D Kent, A Mohseni-Kabir, C Rich, S Chernova
2015 AAAI fall symposium series, 2015
212015
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
192019
Collaborative learning of hierarchical task networks from demonstration and instruction
A Mohseni-Kabir, S Chernova, C Rich
2014 AAAI Fall Symposium Series, 2014
132014
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
102020
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
102016
System and method for multi-agent reinforcement learning in a multi-agent environment
DF Isele, K Fujimura, A Mohseni-Kabir
US Patent 11,586,974, 2023
82023
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
82014
Robot Task Interruption by Learning to Switch Among Multiple Models.
A Mohseni-Kabir, MM Veloso
IJCAI, 4943-4949, 2018
62018
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
52016
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
32016
Theory and analysis of optimal planning over long and infinite horizons for achieving independent partially-observable tasks that evolve over time
A Mohseni-Kabir, M Veloso, M Likhachev
arXiv preprint arXiv:2102.12633, 2021
22021
Exploration with expert policy advice
A Khadke, A Agarwal, A Mohseni-Kabir, D Schwab
22019
Waiting Tables as a Robot Planning Problem
A Mohseni-Kabir, M Veloso, M Likhachev
arXiv preprint arXiv:2105.10133, 2021
12021
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
12017
System and method for multi-agent reinforcement learning in a multi-agent environment
DF Isele, K Fujimura, A Mohseni-Kabir
US Patent 11,783,232, 2023
2023
Robot Planning for Achieving Multiple Independent Tasks with Discrepancies through Model Decomposition and Augmentation
A Mohseni Kabir
Carnegie Mellon University, 2021
2021
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time
A Mohseni-Kabir, M Veloso, M Likhachev
IEEE Robotics and Automation Letters 6 (3), 5873-5880, 2021
2021
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Artikkelit 1–20