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Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

K. C. Wu / J. S. Litt | NTIS | 2023

Keywords: Machine learning , Reinforcement learning

Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS

Keywords: Machine Learning , Reinforcement Learning

Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

Kristin C. Wu / Jonathan S Litt | NTRS | 2023

Keywords: Machine Learning , Reinforcement Learning

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

Sharma, Manali / Das, Kamalika / Bilgic, Mustafa et al. | NTRS | 2016

Keywords: active learning , learning with rationales

Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

D. Billman / B. Baron / R. J. Mumaw | NTIS | 2023

Keywords: Learning , Learning analysis , Learning design

Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

Dorrit Billman / Barth Baron / Randall J. Mumaw | NTRS

Keywords: learning analysis , learning design , learning

On Generalizably Improving RANS Predictions of Flow Separation and Reattachment

Vishal Srivastava / Chris Rumsey / Gary Coleman et al. | NTRS

Keywords: Machine learning

Cluster-Based Flight Trajectory Outlier Detection

M. Forney / B. Sridhar / K. Freeman | NTIS | 2021

Keywords: Machine learning

Data-Intensive Science Meets Inquiry-Driven Pedagogy: Interactive Big Data Exploration, Threshold Concepts, and Liminality

R. Ramachandran / A. Word / U. Nair | NTIS | 2015

Keywords: Learning , Learning theory

Cluster-Based Flight Trajectory Outlier Detection

Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS

Keywords: Machine Learning

Anomaly Detection, Active Learning, Precursor Identification,and Human Knowledge for Autonomous System Safety

Nikunj C Oza / Kevin M Bradner / David L Iverson et al. | NTRS | 2021

Keywords: active learning , machine learning

Search for Underutilized Airspace for eXtensible Traffic Management (xTM) Operations Based on Air Traffic Patterns

Jinhua Li / Min Xue / Paul U Lee et al. | NTRS | 2023

Keywords: machine learning

Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

Joshua Stuckner | NTRS

Keywords: machine learning , deep learning

Exploring Coanda Effect with 3 Cylinder Geometry

Satvik Kumar | NTRS

Keywords: Machine Learning

AI/Ml Assurance

G. Brat / K. Ellis / S. Brandt | NTRS

Keywords: Machine Learning

Quantum Artificial Intelligence and NASA

Lucas T. Brady | NTRS

Keywords: Machine Learning

Earth Science Deep Learning: Applications and Lessons Learned

Maskey, Manil / Ramachandran, Rahul / Miller, J. J. et al. | NTRS | 2018

Keywords: Deep Learning , Supervised Learning

A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021

Keywords: machine learning

Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS

Keywords: machine learning

Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS

Keywords: REINFORCEMENT LEARNING

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