Articles with public access mandates - Prashant DoshiLearn more
Not available anywhere: 1
On the role of fairness and limited backward induction in sequential bargaining games: New behavioral models and analyses
X Qu, P Doshi
Annals of Mathematics and Artificial Intelligence 79 (1), 205-227, 2017
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 48
A survey of inverse reinforcement learning: Challenges, methods and progress
S Arora, P Doshi
Artificial Intelligence 297, 103500, 2021
Mandates: US National Science Foundation
Towards automated restful web service composition
H Zhao, P Doshi
2009 IEEE International Conference on Web Services, 189-196, 2009
Mandates: US National Institutes of Health
Theory of mind and decision science: Towards a typology of tasks and computational models
T Rusch, S Steixner-Kumar, P Doshi, M Spezio, J Gläscher
Neuropsychologia 146, 107488, 2020
Mandates: US National Science Foundation, National Natural Science Foundation of China …
Inexact matching of ontology graphs using expectation-maximization
P Doshi, R Kolli, C Thomas
Journal of Web Semantics 7 (2), 90-106, 2009
Mandates: US National Institutes of Health
Expectation-maximization for inverse reinforcement learning with hidden data
K Bogert, JFS Lin, P Doshi, D Kulic
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
Mandates: US National Science Foundation
A framework for ontology-based question answering with application to parasite immunology
AH Asiaee, T Minning, P Doshi, RL Tarleton
Journal of biomedical semantics 6, 1-25, 2015
Mandates: US National Institutes of Health
Selective querying for adapting web service compositions using the value of changed information
J Harney, P Doshi
IEEE Transactions on Services Computing 1 (3), 169-185, 2008
Mandates: US National Institutes of Health
Experience, risk, warnings, and demographics: Predictors of evacuation decisions in Hurricanes Harvey and Irma
AS Goodie, AR Sankar, P Doshi
International journal of disaster risk reduction 41, 101320, 2019
Mandates: US National Science Foundation
Sa-net: Robust state-action recognition for learning from observations
N Soans, E Asali, Y Hong, P Doshi
2020 IEEE International Conference on Robotics and Automation (ICRA), 2153-2159, 2020
Mandates: US National Science Foundation
Recursively modeling other agents for decision making: A research perspective
P Doshi, P Gmytrasiewicz, E Durfee
Artificial Intelligence 279, 103202, 2020
Mandates: US National Science Foundation, US Department of Defense
Online structure learning for feed-forward and recurrent sum-product networks
A Kalra, A Rashwan, WS Hsu, P Poupart, P Doshi, G Trimponias
Advances in Neural Information Processing Systems 31, 2018
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
Graalf: Supporting graphical analysis of audit logs for forensics
O Setayeshfar, C Adkins, M Jones, KH Lee, P Doshi
Software Impacts 8, 100068, 2021
Mandates: US Department of Defense
Model-free irl using maximum likelihood estimation
V Jain, P Doshi, B Banerjee
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3951-3958, 2019
Mandates: US National Science Foundation
Multi-robot inverse reinforcement learning under occlusion with estimation of state transitions
K Bogert, P Doshi
Artificial Intelligence 263, 46-73, 2018
Mandates: US National Science Foundation, US Department of Defense
Scalable decision-theoretic planning in open and typed multiagent systems
A Eck, M Shah, P Doshi, LK Soh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7127-7134, 2020
Mandates: US National Science Foundation
Sum-product-max networks for tractable decision making
MA Melibari, P Poupart, P Doshi
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
A layered HMM for predicting motion of a leader in multi-robot settings
S Solaimanpour, P Doshi
2017 IEEE International Conference on Robotics and Automation (ICRA), 788-793, 2017
Mandates: US Department of Defense
Decision-theoretic planning with communication in open multiagent systems
A Kakarlapudi, G Anil, A Eck, P Doshi, LK Soh
Uncertainty in Artificial Intelligence, 938-948, 2022
Mandates: US National Science Foundation
Decision-theoretic planning under anonymity in agent populations
E Sonu, Y Chen, P Doshi
Journal of Artificial Intelligence Research 59, 725-770, 2017
Mandates: US National Science Foundation, US Department of Defense
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