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John Winder
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- affiliation: University of Maryland, Baltimore County, USA
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2020 – today
- 2024
- [i5]Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar:
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. CoRR abs/2410.02581 (2024) - [i4]Greyson Brothers, Willa Mannering, Amber Tien, John Winder:
Uncovering Uncertainty in Transformer Inference. CoRR abs/2412.05768 (2024) - 2023
- [i3]Noah Ford, John Winder, Joshua McClellan:
Adaptive Neural Networks Using Residual Fitting. CoRR abs/2301.05744 (2023) - 2021
- [c7]Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek:
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c6]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 - [i2]Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek:
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR abs/2007.14987 (2020)
2010 – 2019
- 2019
- [j2]Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, John Winder:
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours. Artif. Intell. Medicine 97: 44-60 (2019) - [c5]David Abel, John Winder, Marie desJardins, Michael L. Littman:
The Expected-Length Model of Options. IJCAI 2019: 1951-1958 - [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) - 2018
- [c4]John Winder, Marie desJardins:
Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning. AAAI Workshops 2018: 581-585 - 2017
- [j1]Karan K. Budhraja, John Winder, Tim Oates:
Feature Construction for Controlling Swarms by Visual Demonstration. ACM Trans. Auton. Adapt. Syst. 12(2): 10:1-10:22 (2017) - [c3]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
- [c2]John Winder:
A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning. IJCAI 2016: 4040-4041 - 2015
- [c1]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
Coauthor Index
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