Követés
John Winder
John Winder
AI/ML Research Scientist (Senior Staff), Johns Hopkins University Applied Physics Laboratory
E-mail megerősítve itt: umbc.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Planning with abstract Markov decision processes
N Gopalan, M Littman, J MacGlashan, S Squire, S Tellex, J Winder, ...
Proceedings of the International Conference on Automated Planning and …, 2017
602017
Portable option discovery for automated learning transfer in object-oriented markov decision processes.
N Topin, N Haltmeyer, S Squire, J Winder, Marie desJardins, ...
IJCAI, 3856-3864, 2015
312015
A spoken language dataset of descriptions for speech-based grounded language learning
GY Kebe, P Higgins, P Jenkins, K Darvish, R Sachdeva, R Barron, ...
Advances in neural information processing systems, 2021
232021
Planning with abstract learned models while learning transferable subtasks
J Winder, S Milani, M Landen, E Oh, S Parr, S Squire, C Matuszek
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9992 …, 2020
122020
Feature construction for controlling swarms by visual demonstration
KK Budhraja, J Winder, T Oates
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12 (2), 1-22, 2017
92017
Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning
P Jenkins, R Sachdeva, GY Kebe, P Higgins, K Darvish, E Raff, D Engel, ...
arXiv preprint arXiv:2007.14987, 2020
72020
The expected-length model of options
D Abel, J Winder, M DesJardins, M Littman
Proceedings of the 28th International Joint Conference on Artificial …, 2019
52019
Concept-aware feature extraction for knowledge transfer in reinforcement learning
J Winder
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
42018
A Framework for Anomaly Reasoning: Interpretation through Concept Formation for Knowledge Transfer and Lifelong Learning.
J Winder
IJCAI, 4040-4041, 2016
42016
Boosting sample efficiency and generalization in multi-agent reinforcement learning via equivariance
J McClellan, N Haghani, J Winder, F Huang, P Tokekar
arXiv preprint arXiv:2410.02581, 2024
12024
Generative Artificial Intelligence for Behavioral Intent Prediction
W Mannering, N Ford, JJ Harsono, J Winder
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
12024
Uncovering Uncertainty in Transformer Inference
G Brothers, W Mannering, A Tien, J Winder
arXiv preprint arXiv:2412.05768, 2024
2024
Adaptive Neural Networks Using Residual Fitting
N Ford, J Winder, J McClellan
arXiv preprint arXiv:2301.05744, 2023
2023
Abstract Decision Making and Concept Formation for Adaptability and Generalization
J Winder
2019
Towards Planning With Hierarchies of Learned Markov Decision Processes
J Winder, S Squire, M Landen, S Milani
IntEx 2017, 50, 2017
2017
Discovering Portable Options through Automated Mapping
N Topin, N Haltmeyer, S Squire, J Winder, J MacGlashan, M desJardins
Planning with Abstract Markov Decision Processes
J Winder, LLS Wong
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Cikkek 1–17