| Bayesian optimized monte carlo planning J Mern, A Yildiz, Z Sunberg, T Mukerji, MJ Kochenderfer Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11880 …, 2021 | 39 | 2021 |
| A sequential decision-making framework with uncertainty quantification for groundwater management Y Wang, M Zechner, JM Mern, MJ Kochenderfer, JK Caers Advances in Water Resources 166, 104266, 2022 | 20 | 2022 |
| Obstacle avoidance using a monocular camera K Hatch, JM Mern, MJ Kochenderfer AIAA Scitech 2021 Forum, 0269, 2021 | 14 | 2021 |
| Improved POMDP tree search planning with prioritized action branching J Mern, A Yildiz, L Bush, T Mukerji, MJ Kochenderfer Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11888 …, 2021 | 13 | 2021 |
| UAV Depth Perception from Visual, Images using a Deep Convolutional Neural Network K Julian, J Mern, R Tompa | 12 | 2017 |
| Using Bitcoin Ledger Network Data to Predict the Price of Bitcoin J Mern, S Anderson, J Poothokaran Stanford University, 2017 | 11 | 2017 |
| Autonomous attack mitigation for industrial control systems J Mern, K Hatch, R Silva, C Hickert, T Sookoor, MJ Kochenderfer 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems …, 2022 | 10 | 2022 |
| The Intelligent Prospector v1. 0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration J Mern, J Caers Geoscientific Model Development 16 (1), 289-313, 2023 | 9 | 2023 |
| Reinforcement learning for industrial control network cyber security orchestration J Mern, K Hatch, R Silva, J Brush, MJ Kochenderfer arXiv preprint arXiv:2106.05332, 2021 | 8 | 2021 |
| Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks J Mern, K Julian, R Tompa, M Kochenderfer AIAA Science and Technology Forum and Exposition, 2018 | 8 | 2018 |
| A study of numerical simulation of supersonic conical nozzle exhaust J Mern, RK Agarwal 49th AIAA/ASME/SAE/ASEE Joint PropulsionConference, 3697, 2013 | 7 | 2013 |
| Exchangeable input representations for reinforcement learning J Mern, D Sadigh, MJ Kochenderfer 2020 American Control Conference (ACC), 3971-3976, 2020 | 6 | 2020 |
| Optimizing carbon storage operations for long-term safety Y Wang, M Zechner, G Wen, AL Corso, JM Mern, MJ Kochenderfer, ... arXiv preprint arXiv:2304.09352, 2023 | 4 | 2023 |
| Object Exchangeability in Reinforcement Learning J Mern, D Sadigh, M Kochenderfer arXiv preprint arXiv:1905.02698, 2019 | 4 | 2019 |
| Methods and apparatuses for payload deployment using low-force release and replacement of outer mold line panel JM Mern, JR Irwin US Patent 9,623,970, 2017 | 4 | 2017 |
| Measurable Monte Carlo Search Error Bounds J Mern, MJ Kochenderfer arXiv preprint arXiv:2106.04715, 2021 | 3 | 2021 |
| Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures J Mern, JK Gupta, M Kochenderfer 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8., 2017 | 2 | 2017 |
| Structure and evolution of bitcoin transaction network J Mern Dept. Aeronaut. Astronaut., Stanford Univ., Stanford, CA, USA. Tech. Rep, 0 | 2 | |
| Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit A Yildiz, J Mern, MJ Kochenderfer, MF Howland Renewable Energy 216, 119040, 2023 | 1 | 2023 |
| Interpretable Local Tree Surrogate Policies J Mern, S Krishnan, A Yildiz, K Hatch, MJ Kochenderfer arXiv preprint arXiv:2109.08180, 2021 | 1 | 2021 |
Mykel J. KochenderferAssociate Professor, Stanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu