Q-learning-based target selection for bearings-only autonomous navigation
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Publication:2235617
DOI10.1007/S11424-020-9265-YzbMath1472.93044OpenAlexW3120241988MaRDI QIDQ2235617
Publication date: 21 October 2021
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-020-9265-y
convergence analysisQ-learningextended Kalman filteringtarget selectionbearings-only autonomous navigation
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85) Iterative learning control (93B47)
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Cites Work
- Sensor selection for Kalman filtering of linear dynamical systems: complexity, limitations and greedy algorithms
- Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control
- Observability analysis and navigation algorithm for distributed satellites system using relative range measurements
- \({\mathcal Q}\)-learning
- Reinforcement Learning: A Tutorial Survey and Recent Advances
- Cooperative Q-Learning for Rejection of Persistent Adversarial Inputs in Networked Linear Quadratic Systems
- On Modeling and Pulse Phase Estimation of X-Ray Pulsars
- Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models
- Sensor Selection and Precoding Strategies for Wireless Sensor Networks
- Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
- Decentralized Q-Learning for Stochastic Teams and Games
- Optimal Pruning for Multi-Step Sensor Scheduling
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