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Anahita Mohseni-Kabir
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2020 – today
- 2021
- [j4]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [i3]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i2]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - 2020
- [c10]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211
2010 – 2019
- 2019
- [j3]Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich:
Simultaneous learning of hierarchy and primitives for complex robot tasks. Auton. Robots 43(4): 859-874 (2019) - [j2]Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi:
Model-Based Adaptation for Robotics Software. IEEE Softw. 36(2): 83-90 (2019) - [c9]Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura:
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. ICRA 2019: 3370-3376 - [i1]Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura:
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. CoRR abs/1909.12925 (2019) - 2018
- [c8]Anahita Mohseni-Kabir, Manuela M. Veloso:
Robot Task Interruption by Learning to Switch Among Multiple Models. IJCAI 2018: 4943-4949 - 2017
- [c7]Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich:
SLHAP: Simultaneous Learning of Hierarchy and Primitives. HRI (Companion) 2017: 412 - 2016
- [j1]Adrian Boteanu, Aaron St. Clair, Anahita Mohseni-Kabir, Carl Saldanha, Sonia Chernova:
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution. Big Data 4(4): 217-235 (2016) - [c6]Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich:
Identifying Reusable Primitives in Narrated Demonstrations. HRI 2016: 479-480 - [c5]Anahita Mohseni-Kabir, Victoria Wu, Sonia Chernova, Charles Rich:
What's in a primitive? Identifying reusable motion trajectories in narrated demonstrations. RO-MAN 2016: 267-272 - 2015
- [c4]Adrian Boteanu, David Kent, Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova:
Towards Robot Adaptability in New Situations. AAAI Fall Symposia 2015: 24-31 - [c3]Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova, Candace L. Sidner, Daniel Miller:
Interactive Hierarchical Task Learning from a Single Demonstration. HRI 2015: 205-212 - 2014
- [c2]Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich:
Collaborative Learning of Hierarchical Task Networks from Demonstration and Instruction. AAAI Fall Symposia 2014 - [c1]Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova:
Learning partial ordering constraints from a single demonstration. HRI 2014: 248-249
Coauthor Index
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