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2020 – today
- 2020
[c7]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh
, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI 2020: 9992-10000
2010 – 2019
- 2019
- [i1]John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek:
Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR abs/1912.07544 (2019) - 2017
- [c6]Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong:
Planning with Abstract Markov Decision Processes. ICAPS 2017: 480-488 - 2016
- [c5]Shawn Squire, Marie desJardins:
Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes. AAAI 2016: 4264-4265 - 2015
- [c4]Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan:
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes. IJCAI 2015: 3856-3864 - [c3]James MacGlashan, Monica Babes-Vroman, Marie desJardins, Michael L. Littman, Smaranda Muresan, Shawn Squire, Stefanie Tellex, Dilip Arumugam, Lei Yang:
Grounding English Commands to Reward Functions. Robotics: Science and Systems 2015 - 2014
- [c2]Marie desJardins, Tenji Tembo, Nicholay Topin, Michael Bishoff, Shawn Squire, James MacGlashan, Rose Carignan, Nicholas Haltmeyer:
Discovering Subgoals in Complex Domains. AAAI Fall Symposia 2014 - 2013
- [c1]Shawn Squire, Marie desJardins:
Autonomous Hierarchical POMDP Planning from Low-Level Sensors. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013
Coauthor Index
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