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John Mern
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2020 – today
- 2024
- [i14]John Mern, Anthony Corso, Damian Burch, Kurt House, Jef Caers:
Intelligent prospector v2.0: exploration drill planning under epistemic model uncertainty. CoRR abs/2410.10610 (2024) - 2023
- [i13]Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers:
Optimizing Carbon Storage Operations for Long-Term Safety. CoRR abs/2304.09352 (2023) - 2022
- [c7]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI 2022 - [c6]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor
, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. DSN Workshops 2022: 28-36 - 2021
- [c5]John Mern
Bayesian Optimized Monte Carlo Planning. AAAI 2021: 11880-11887 - [c4]John Mern
Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI 2021: 11888-11894 - [i12]John Mern, Mykel J. Kochenderfer:
Measurable Monte Carlo Search Error Bounds. CoRR abs/2106.04715 (2021) - [i11]John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer:
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration. CoRR abs/2106.05332 (2021) - [i10]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. CoRR abs/2109.08180 (2021) - [i9]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. CoRR abs/2111.02445 (2021) - 2020
- [c3]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
Exchangeable Input Representations for Reinforcement Learning. ACC 2020: 3971-3976 - [i8]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. CoRR abs/2003.09022 (2020) - [i7]John Mern, Peter Morales, Mykel J. Kochenderfer:
Towards Recurrent Autoregressive Flow Models. CoRR abs/2006.10096 (2020) - [i6]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. CoRR abs/2010.03597 (2020) - [i5]John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR abs/2010.03599 (2020) - [i4]Kyle Hatch, John Mern, Mykel J. Kochenderfer:
Obstacle Avoidance Using a Monocular Camera. CoRR abs/2012.01608 (2020)
2010 – 2019
- 2019
- [c2]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangability in Reinforcement Learning. AAMAS 2019: 2126-2128 - [i3]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangeability in Reinforcement Learning: Extended Abstract. CoRR abs/1905.02698 (2019) - 2018
- [i2]John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer:
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. CoRR abs/1802.06920 (2018) - [i1]John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer:
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. CoRR abs/1812.04082 (2018) - 2017
- [c1]John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. SSCI 2017: 1-8
Coauthor Index
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