John Mern

According to our database, John Mern authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty.

John Mern, Anthony Corso, Damian Burch, Kurt House, Jef Caers

CoRR, 2024

2023

Optimizing Carbon Storage Operations for Long-Term Safety.

Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers

CoRR, 2023

2022

Autonomous Attack Mitigation for Industrial Control Systems.

John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Interpretable Local Tree Surrogate Policies.

John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Reinforcement Learning for Industrial Control Network Cyber Security Orchestration.

John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer

CoRR, 2021

Measurable Monte Carlo Search Error Bounds.

John Mern, Mykel J. Kochenderfer

CoRR, 2021

Bayesian Optimized Monte Carlo Planning.

John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improved POMDP Tree Search Planning with Prioritized Action Branching.

John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Obstacle Avoidance Using a Monocular Camera.

Kyle Hatch, John Mern, Mykel J. Kochenderfer

CoRR, 2020

Towards Recurrent Autoregressive Flow Models.

John Mern, Peter Morales, Mykel J. Kochenderfer

CoRR, 2020

Exchangeable Input Representations for Reinforcement Learning.

John Mern, Dorsa Sadigh, Mykel J. Kochenderfer

Proceedings of the 2020 American Control Conference, 2020

2019

Object Exchangeability in Reinforcement Learning: Extended Abstract.

John Mern, Dorsa Sadigh, Mykel J. Kochenderfer

CoRR, 2019

Object Exchangability in Reinforcement Learning.

John Mern, Dorsa Sadigh, Mykel J. Kochenderfer

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks.

John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer

CoRR, 2018

2017

Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures.

John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017