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ORCIDNathaniel Hamilton
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2020 – today
- 2024
[i11]Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton, Jabari Wilson, Kerianne L. Hobbs:
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering. CoRR abs/2402.14723 (2024)- [i10]Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay, Matt Shubert, Sean Phillips, Kerianne L. Hobbs:
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles. CoRR abs/2405.06770 (2024) - [i9]Kyle Dunlap, Nathaniel Hamilton, Francisco Viramontes, Derrek Landauer, Evan Kain, Kerianne L. Hobbs:
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies. CoRR abs/2405.06771 (2024) - [i8]Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs:
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls. CoRR abs/2405.12355 (2024) - [i7]Kyle Dunlap, Kochise Bennett, David van Wijk, Nathaniel Hamilton, Kerianne Hobbs:
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection. CoRR abs/2406.11795 (2024) - 2023
- [c10]Preston K. Robinette
, Nathaniel P. Hamilton, Taylor T. Johnson:
Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces. ICCPS 2023: 110-119 - [c9]Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson:
DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces. ICCPS 2023: 278-279 - 2022
- [c8]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Taylor T. Johnson:
Reachability Analysis of a General Class of Neural Ordinary Differential Equations. FORMATS 2022: 258-277 - [c7]Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson:
On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers. ICAA 2022: 1-10 - [c6]Nathaniel Hamilton, Patrick Musau, Diego Manzanas Lopez, Taylor T. Johnson:
Zero-Shot Policy Transfer in Autonomous Racing: Reinforcement Learning vs Imitation Learning. ICAA 2022: 11-20 - [c5]Nathaniel Hamilton, Preston Robinette, Taylor T. Johnson:
Training Agents to Satisfy Timed and Untimed Signal Temporal Logic Specifications with Reinforcement Learning. SEFM 2022: 190-206 - [i6]Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson:
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles. CoRR abs/2205.01419 (2022) - [i5]Nathaniel Hamilton, Kyle Dunlap, Taylor T. Johnson, Kerianne L. Hobbs:
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. CoRR abs/2207.04117 (2022) - [i4]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Taylor T. Johnson:
Reachability Analysis of a General Class of Neural Ordinary Differential Equations. CoRR abs/2207.06531 (2022) - 2021
- [c4]Hoang-Dung Tran, Neelanjana Pal, Patrick Musau, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Stanley Bak, Taylor T. Johnson:
Robustness Verification of Semantic Segmentation Neural Networks Using Relaxed Reachability. CAV (1) 2021: 263-286 - 2020
- [c3]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Hoang-Dung Tran, Taylor T. Johnson:
Case Study: Safety Verification of an Unmanned Underwater Vehicle. SP (Workshops) 2020: 189-195
2010 – 2019
- 2019
- [c2]Hoang-Dung Tran, Luan Viet Nguyen, Nathaniel Hamilton, Weiming Xiang, Taylor T. Johnson:
Reachability Analysis for High-Index Linear Differential Algebraic Equations. FORMATS 2019: 160-177 - 2018
- [i3]Hoang-Dung Tran, Weiming Xiang, Nathaniel Hamilton, Taylor T. Johnson:
Simulation-Based Reachability Analysis for High-Index Large Linear Differential Algebraic Equations. CoRR abs/1804.03227 (2018) - [i2]Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson:
Verification for Machine Learning, Autonomy, and Neural Networks Survey. CoRR abs/1810.01989 (2018) - 2017
- [c1]Daniel B. Work, Raphael E. Stern, Fangyu Wu, Miles Churchill, Shumo Cui, Hannah Pohlmann, Benjamin Seibold, Benedetto Piccoli, Rahul Bhadani, Matt Bunting, Jonathan Sprinkle, Maria Laura Delle Monache, Nathaniel Hamilton, R'mani Haulcy:
Controlling for Unsafe Events in Dense Traffic through Autonomous Vehicles: Invited Talk Abstract. SCAV@CPSWeek 2017: 7 - [i1]Raphael E. Stern, Shumo Cui, Maria Laura Delle Monache, Rahul Bhadani, Matt Bunting, Miles Churchill, Nathaniel Hamilton, R'mani Haulcy, Hannah Pohlmann, Fangyu Wu, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Daniel B. Work:
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments. CoRR abs/1705.01693 (2017)
Coauthor Index
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last updated on 2024-08-05 20:16 CEST by the dblp team
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