John Mern

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Top Venues

Publications

John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI (2022)
John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
Autonomous Attack Mitigation for Industrial Control Systems. DSN Workshops (2022)
John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer
Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI (2021)
John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration. CoRR (2021)
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
Bayesian Optimized Monte Carlo Planning. AAAI (2021)
John Mern, Mykel J. Kochenderfer
Measurable Monte Carlo Search Error Bounds. CoRR (2021)
John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
Autonomous Attack Mitigation for Industrial Control Systems. CoRR (2021)
John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
Interpretable Local Tree Surrogate Policies. CoRR (2021)
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
Bayesian Optimized Monte Carlo Planning. CoRR (2020)
John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR (2020)
Kyle Hatch, John Mern, Mykel J. Kochenderfer
Obstacle Avoidance Using a Monocular Camera. CoRR (2020)
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
Exchangeable Input Representations for Reinforcement Learning. ACC (2020)
John Mern, Peter Morales, Mykel J. Kochenderfer
Towards Recurrent Autoregressive Flow Models. CoRR (2020)
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
Exchangeable Input Representations for Reinforcement Learning. CoRR (2020)
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
Object Exchangeability in Reinforcement Learning: Extended Abstract. CoRR (2019)
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
Object Exchangability in Reinforcement Learning. AAMAS (2019)
John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. CoRR (2018)
John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. CoRR (2018)
John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. SSCI (2017)