| 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 | 697 | 2016 |
| Grounded action transformation for robot learning in simulation J Hanna, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 140 | 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 | 88 | 2017 |
| Importance sampling policy evaluation with an estimated behavior policy J Hanna, S Niekum, P Stone International Conference on Machine Learning, 2605-2613, 2019 | 85 | 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 | 65 | 2017 |
| Learning an interpretable traffic signal control policy J Ault, JP Hanna, G Sharon arXiv preprint arXiv:1912.11023, 2019 | 60 | 2019 |
| 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 | 59 | 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 | 55 | 2020 |
| Data-Efficient Policy Evaluation Through Behavior Policy Search JP Hanna, PS Thomas, P Stone, S Niekum The International Conference on Machine Learning (ICML), 2017 | 51 | 2017 |
| Minimum cost matching for autonomous carsharing JP Hanna, M Albert, D Chen, P Stone IFAC-PapersOnLine 49 (15), 254-259, 2016 | 51 | 2016 |
| 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 | 42 | 2021 |
| 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 | 39 | 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 | 37 | 2020 |
| Importance sampling in reinforcement learning with an estimated behavior policy JP Hanna, S Niekum, P Stone Machine Learning 110 (6), 1267-1317, 2021 | 36 | 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 | 35 | 2018 |
| 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 | 34 | 2018 |
| 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 | 30 | 2021 |
| Decoupled reinforcement learning to stabilise intrinsically-motivated exploration L Schäfer, F Christianos, JP Hanna, SV Albrecht arXiv preprint arXiv:2107.08966, 2021 | 27 | 2021 |
| Reinforced grounded action transformation for sim-to-real transfer H Karnan, S Desai, JP Hanna, G Warnell, P Stone 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 27 | 2020 |
| Stochastic grounded action transformation for robot learning in simulation S Desai, H Karnan, JP Hanna, G Warnell, P Stone 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 25 | 2020 |
Peter StoneProfessor of Computer Science, The University of Texas at AustinEmail verificata su cs.utexas.edu
