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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Deep Reinforcement Learning Applied to Grid Stability Using State Space Navigation.
Abstract not provided.
Early Prediction and Prevention of Frac Screen-out using Deep Reinforcement Learning
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Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
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Applying Reinforcement Learning to Vibration Testing
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Scalable Frameworks for Reinforcement Learning for Control of Self-Assembling Materials and for Chemistry Design
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Increasing adoption of electric vehicles in mobility services with deep reinforcement learning
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Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner.
Abstract not provided.
Implementation and Validation of Hypersonic Motion Primitives for Reinforcement Learning Using Optimal Control Theory (Extended Abstract).
Abstract not provided.
Hybrid Information-driven Multi-agent Reinforcement Learning
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Hypersonic Guidance and Control via Deep Reinforcement Learning Methods.
Abstract not provided.
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding.
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Model Predictive Control and Reinforcement Learning Control for Hypersonic Gliding Vehicles and Spacecraft Docking.
Abstract not provided.
Trajectory Planning for Aerospace Vehicles using Deep Reinforcement Learning.
Abstract not provided.
Discovering symbolic policies with deep reinforcement learning
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Deep Reinforcement Learning for Engineering Design through Topology Optimization of Elementally Discretized Design Domains.
Abstract not provided.