Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Hamilton, Nathaniel, Dunlap, Kyle, Hobbs, Kerianne L. |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
par: Hamilton, Nathaniel, et autres
Publié: (2025)
par: Hamilton, Nathaniel, et autres
Publié: (2025)
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
par: Hamilton, Nathaniel, et autres
Publié: (2022)
par: Hamilton, Nathaniel, et autres
Publié: (2022)
Deep Reinforcement Learning for Scalable Multiagent Spacecraft Inspection
par: Dunlap, Kyle, et autres
Publié: (2024)
par: Dunlap, Kyle, et autres
Publié: (2024)
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
par: Dunlap, Kyle, et autres
Publié: (2024)
par: Dunlap, Kyle, et autres
Publié: (2024)
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
par: Dunlap, Kyle, et autres
Publié: (2024)
par: Dunlap, Kyle, et autres
Publié: (2024)
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
par: Dunlap, Kyle, et autres
Publié: (2024)
par: Dunlap, Kyle, et autres
Publié: (2024)
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering
par: McQuinn, Cassie-Kay, et autres
Publié: (2024)
par: McQuinn, Cassie-Kay, et autres
Publié: (2024)
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions
par: Molnar, Tamas G., et autres
Publié: (2024)
par: Molnar, Tamas G., et autres
Publié: (2024)
The Safe Trusted Autonomy for Responsible Space Program
par: Hobbs, Kerianne L., et autres
Publié: (2025)
par: Hobbs, Kerianne L., et autres
Publié: (2025)
Nuclear Microreactor Control with Deep Reinforcement Learning
par: Tunkle, Leo, et autres
Publié: (2025)
par: Tunkle, Leo, et autres
Publié: (2025)
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
par: Remman, Sindre Benjamin, et autres
Publié: (2024)
par: Remman, Sindre Benjamin, et autres
Publié: (2024)
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
par: Cao, Wenhan, et autres
Publié: (2024)
par: Cao, Wenhan, et autres
Publié: (2024)
Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
par: Ikemoto, Junya, et autres
Publié: (2026)
par: Ikemoto, Junya, et autres
Publié: (2026)
Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking
par: Saxena, Shaifalee, et autres
Publié: (2025)
par: Saxena, Shaifalee, et autres
Publié: (2025)
Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions
par: Das, Goutam, et autres
Publié: (2026)
par: Das, Goutam, et autres
Publié: (2026)
Kernel-Based Safe Exploration in Deep Reinforcement Learning
par: Majumdar, Rupak, et autres
Publié: (2026)
par: Majumdar, Rupak, et autres
Publié: (2026)
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration
par: Wu, Chengdong, et autres
Publié: (2025)
par: Wu, Chengdong, et autres
Publié: (2025)
Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach
par: Zhang, Xiaocai, et autres
Publié: (2026)
par: Zhang, Xiaocai, et autres
Publié: (2026)
Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of Beamlines
par: Wang, Siyu, et autres
Publié: (2024)
par: Wang, Siyu, et autres
Publié: (2024)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
par: Mandal, Udayan, et autres
Publié: (2024)
par: Mandal, Udayan, et autres
Publié: (2024)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
par: Wang, Xuefeng, et autres
Publié: (2024)
par: Wang, Xuefeng, et autres
Publié: (2024)
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
par: Lopez, Antonio, et autres
Publié: (2024)
par: Lopez, Antonio, et autres
Publié: (2024)
A Reinforcement Learning Approach for Optimal Control in Microgrids
par: Salaorni, Davide, et autres
Publié: (2025)
par: Salaorni, Davide, et autres
Publié: (2025)
Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
par: Ramadan, Mohammad S., et autres
Publié: (2023)
par: Ramadan, Mohammad S., et autres
Publié: (2023)
Promises of Deep Kernel Learning for Control Synthesis
par: Reed, Robert, et autres
Publié: (2023)
par: Reed, Robert, et autres
Publié: (2023)
A Comparative Study of Deep Reinforcement Learning for Crop Production Management
par: Balderas, Joseph, et autres
Publié: (2024)
par: Balderas, Joseph, et autres
Publié: (2024)
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms
par: Mohammadi, Esmaeel, et autres
Publié: (2024)
par: Mohammadi, Esmaeel, et autres
Publié: (2024)
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
par: Schäfer, Georg, et autres
Publié: (2025)
par: Schäfer, Georg, et autres
Publié: (2025)
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
par: De Lellis, Francesco, et autres
Publié: (2023)
par: De Lellis, Francesco, et autres
Publié: (2023)
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
par: Jonnarth, Arvi, et autres
Publié: (2023)
par: Jonnarth, Arvi, et autres
Publié: (2023)
Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
par: Li, Yang, et autres
Publié: (2023)
par: Li, Yang, et autres
Publié: (2023)
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
par: Gornet, Jonathan, et autres
Publié: (2025)
par: Gornet, Jonathan, et autres
Publié: (2025)
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
par: Shin, Hyo-Sang, et autres
Publié: (2019)
par: Shin, Hyo-Sang, et autres
Publié: (2019)
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
par: Tao, Zhenyu, et autres
Publié: (2023)
par: Tao, Zhenyu, et autres
Publié: (2023)
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
par: Tesfazgi, Samuel, et autres
Publié: (2024)
par: Tesfazgi, Samuel, et autres
Publié: (2024)
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
par: Sun, Yixuan, et autres
Publié: (2024)
par: Sun, Yixuan, et autres
Publié: (2024)
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
par: Mukherjee, Sayak, et autres
Publié: (2020)
par: Mukherjee, Sayak, et autres
Publié: (2020)
Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
par: Nilsen, Marcus Binder, et autres
Publié: (2026)
par: Nilsen, Marcus Binder, et autres
Publié: (2026)
Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics
par: Abdelsalam, Karim, et autres
Publié: (2025)
par: Abdelsalam, Karim, et autres
Publié: (2025)
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
par: Müller, Arthur, et autres
Publié: (2021)
par: Müller, Arthur, et autres
Publié: (2021)
Documents similaires
-
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
par: Hamilton, Nathaniel, et autres
Publié: (2025) -
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
par: Hamilton, Nathaniel, et autres
Publié: (2022) -
Deep Reinforcement Learning for Scalable Multiagent Spacecraft Inspection
par: Dunlap, Kyle, et autres
Publié: (2024) -
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
par: Dunlap, Kyle, et autres
Publié: (2024) -
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
par: Dunlap, Kyle, et autres
Publié: (2024)