John Mern
John Mern
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Cited by
Cited by
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
UAV Depth Perception from Visual, Images using a Deep Convolutional Neural Network
K Julian, J Mern, R Tompa
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
Exchangeable input representations for reinforcement learning
J Mern, D Sadigh, MJ Kochenderfer
2020 American Control Conference (ACC), 3971-3976, 2020
Object Exchangeability in Reinforcement Learning
J Mern, D Sadigh, M Kochenderfer
arXiv preprint arXiv:1905.02698, 2019
Using Bitcoin Ledger Network Data to Predict the Price of Bitcoin
J Mern, S Anderson, J Poothokaran
Stanford University, 2017
A study of numerical simulation of supersonic conical nozzle exhaust
J Mern, RK Agarwal
49th AIAA/ASME/SAE/ASEE Joint PropulsionConference, 3697, 2013
Measurable Monte Carlo Search Error Bounds
J Mern, MJ Kochenderfer
arXiv preprint arXiv:2106.04715, 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
Obstacle avoidance using a monocular camera
K Hatch, JM Mern, MJ Kochenderfer
AIAA Scitech 2021 Forum, 0269, 2021
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
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
Interpretable Local Tree Surrogate Policies
J Mern, S Krishnan, A Yildiz, K Hatch, MJ Kochenderfer
arXiv preprint arXiv:2109.08180, 2021
Structure and evolution of bitcoin transaction network
J Mern
Dept. Aeronaut. Astronaut., Stanford Univ., Stanford, CA, USA. Tech. Rep, 0
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 Discussions, 1-50, 2022
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
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
Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems
JM Mern
Stanford University, 2021
Towards Recurrent Autoregressive Flow Models
J Mern, P Morales, MJ Kochenderfer
arXiv preprint arXiv:2006.10096, 2020
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
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