John Mern - RankMe

20 papers A* 2A 1C 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty. CoRR John Mern, Anthony Corso, Damian Burch, Kurt House, Jef Caers
2022	—	`conf`	Autonomous Attack Mitigation for Industrial Control Systems. DSN Workshops John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
2022	—	`conf`	Interpretable Local Tree Surrogate Policies. SafeAI@AAAI John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
2021	J	`jnl`	Autonomous Attack Mitigation for Industrial Control Systems. CoRR John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
2021	A*	`conf`	Bayesian Optimized Monte Carlo Planning. AAAI John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
2021	A*	`conf`	Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer
2021	J	`jnl`	Interpretable Local Tree Surrogate Policies. CoRR John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
2021	J	`jnl`	Measurable Monte Carlo Search Error Bounds. CoRR John Mern, Mykel J. Kochenderfer
2021	J	`jnl`	Reinforcement Learning for Industrial Control Network Cyber Security Orchestration. CoRR John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer
2020	J	`jnl`	Bayesian Optimized Monte Carlo Planning. CoRR John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
2020	C	`conf`	Exchangeable Input Representations for Reinforcement Learning. ACC John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2020	J	`jnl`	Exchangeable Input Representations for Reinforcement Learning. CoRR John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2020	J	`jnl`	Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer
2020	J	`jnl`	Obstacle Avoidance Using a Monocular Camera. CoRR Kyle Hatch, John Mern, Mykel J. Kochenderfer
2020	J	`jnl`	Towards Recurrent Autoregressive Flow Models. CoRR John Mern, Peter Morales, Mykel J. Kochenderfer
2019	A	`conf`	Object Exchangability in Reinforcement Learning. AAMAS John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2019	J	`jnl`	Object Exchangeability in Reinforcement Learning: Extended Abstract. CoRR John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2018	J	`jnl`	Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. CoRR John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
2018	J	`jnl`	Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. CoRR John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer
2017	—	`conf`	Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. SSCI John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer