| 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 | 112 | 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, 859-874, 2019 | 32 | 2019 |
| 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 | 32 | 2019 |
| Towards robot adaptability in new situations A Boteanu, D Kent, A Mohseni-Kabir, C Rich, S Chernova 2015 AAAI fall symposium series, 2015 | 19 | 2015 |
| 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 | 16 | 2019 |
| Collaborative learning of hierarchical task networks from demonstration and instruction A Mohseni-Kabir, S Chernova, C Rich 2014 AAAI Fall Symposium Series, 2014 | 14 | 2014 |
| 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 | 9 | 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 | 8 | 2020 |
| 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 | 8 | 2014 |
| Robot Task Interruption by Learning to Switch Among Multiple Models. A Mohseni-Kabir, MM Veloso IJCAI, 4943-4949, 2018 | 6 | 2018 |
| 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 | 5 | 2016 |
| 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 | 4 | 2023 |
| 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 | 2 | 2021 |
| Exploration with expert policy advice A Khadke, A Agarwal, A Mohseni-Kabir, D Schwab | 2 | 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 | 2 | 2016 |
| Waiting Tables as a Robot Planning Problem A Mohseni-Kabir, M Veloso, M Likhachev arXiv preprint arXiv:2105.10133, 2021 | 1 | 2021 |
| System and method for multi-agent reinforcement learning in a multi-agent environment DF Isele, K Fujimura, A Mohseni-Kabir US Patent App. 18/077,697, 2023 | | 2023 |
| 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 |
| 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 | | 2017 |
| Robot Planning for Achieving Multiple Independent Tasks with Discrepancies through Model Decomposition and Augmentation A Mohseni Kabir Carnegie Mellon University, 0 | | |
Sonia ChernovaAssociate Professor, Georgia Institute of TechnologyVahvistettu sähköpostiosoite verkkotunnuksessa cc.gatech.edu
