Josiah P.  Hanna
Cited by
Cited by
Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions
TD Chen, KM Kockelman, JP Hanna
Transportation Research Part A: Policy and Practice 94, 243-254, 2016
Grounded action transformation for robot learning in simulation
J Hanna, P Stone
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Bootstrapping with models: Confidence intervals for off-policy evaluation
JP Hanna, P Stone, S Niekum
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
Importance sampling policy evaluation with an estimated behavior policy
J Hanna, S Niekum, P Stone
International Conference on Machine Learning, 2605-2613, 2019
Network-wide adaptive tolling for connected and automated vehicles
G Sharon, MW Levin, JP Hanna, T Rambha, SD Boyles, P Stone
Transportation Research Part C: Emerging Technologies 84, 142-157, 2017
Real-time adaptive tolling scheme for optimized social welfare in traffic networks
G Sharon, JP Hanna, T Rambha, MW Levin, M Albert, SD Boyles, P Stone
Proceedings of the 16th International Conference on Autonomous Agents and …, 2017
Learning an interpretable traffic signal control policy
J Ault, JP Hanna, G Sharon
arXiv preprint arXiv:1912.11023, 2019
Minimum cost matching for autonomous carsharing
JP Hanna, M Albert, D Chen, P Stone
IFAC-PapersOnLine 49 (15), 254-259, 2016
Data-Efficient Policy Evaluation Through Behavior Policy Search
JP Hanna, PS Thomas, P Stone, S Niekum
The International Conference on Machine Learning (ICML), 2017
An imitation from observation approach to transfer learning with dynamics mismatch
S Desai, I Durugkar, H Karnan, G Warnell, J Hanna, P Stone
Advances in Neural Information Processing Systems 33, 3917-3929, 2020
An assessment of autonomous vehicles: traffic impacts and infrastructure needs
K Kockelman, S Boyles, P Stone, D Fagnant, R Patel, MW Levin, ...
University of Texas at Austin. Center for Transportation Research, 2017
Ridm: Reinforced inverse dynamics modeling for learning from a single observed demonstration
BS Pavse, F Torabi, J Hanna, G Warnell, P Stone
IEEE Robotics and Automation Letters 5 (4), 6262-6269, 2020
Fast and precise black and white ball detection for robocup soccer
J Menashe, J Kelle, K Genter, J Hanna, E Liebman, S Narvekar, R Zhang, ...
RoboCup 2017: Robot World Cup XXI 11, 45-58, 2018
Grounded action transformation for sim-to-real reinforcement learning
JP Hanna, S Desai, H Karnan, G Warnell, P Stone
Machine Learning 110 (9), 2469-2499, 2021
Dyetc: Dynamic electronic toll collection for traffic congestion alleviation
H Chen, B An, G Sharon, J Hanna, P Stone, C Miao, Y Soh
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Importance sampling in reinforcement learning with an estimated behavior policy
JP Hanna, S Niekum, P Stone
Machine Learning 110 (6), 1267-1317, 2021
Interpretable goal recognition in the presence of occluded factors for autonomous vehicles
JP Hanna, A Rahman, E Fosong, F Eiras, M Dobre, J Redford, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
The academic advising planning domain
JT Guerin, JP Hanna, L Ferland, N Mattei, J Goldsmith
Proceedings of the 3rd Workshop on the International Planning Competition at …, 2012
Decoupled reinforcement learning to stabilise intrinsically-motivated exploration
L Schäfer, F Christianos, JP Hanna, SV Albrecht
arXiv preprint arXiv:2107.08966, 2021
Approximation of lorenz-optimal solutions in multiobjective markov decision processes
P Perny, P Weng, J Goldsmith, J Hanna
International Conference on Uncertainty in Artificial Intelligence (UAI), 2013
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