Adaptive guidance and integrated navigation with reinforcement meta-learning

Proximal Policy Optimization Algorithms

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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

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A Simple Neural Attentive Meta-LearnerPreprint

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An Introduction to the Mathematics and Methods of Astrodynamics, Revised Edition

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Gated Feedback Recurrent Neural Networks

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Learning to reinforcement learn

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Preparing for the Unknown: Learning a Universal Policy with Online System Identification

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Preparing for the unknown: Learning a universal policy with online system identification

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Meta Learning Shared HierarchiesPreprint

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EPOpt: Learning Robust Neural Network Policies Using Model EnsemblesPreprint

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Sim-to-Real Transfer of Robotic Control with Dynamics RandomizationPreprint

Peng, X. B., Andrychowicz, M., Zaremba, W., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.06537 · Cited by 168 · see citing works

An optimal guidance law for planetary landing

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Shaping and policy search in reinforcement learning

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Adaptive Fault-Tolerant Control of Spacecraft Attitude Dynamics with Actuator Failures

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Mars entry fault-tolerant control via neural network and structure adaptive model inversion

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Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and LandingPreprint

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Guidance, Navigation, and Control Conference

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Attitude Dynamics of Spacecraft with Time-Varying Inertia During On-Orbit Refueling

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Trajectory-Driven Adaptive Control of Autonomous Unmanned Aerial Vehicles with Disturbance Accommodation

Prabhakar, N., Painter, A., Prazenica, R. J., & Balas, M. J. (2018) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g003341 · Cited by 25 · see citing works

Real-time state estimation for asteroid close-proximity operations via lidar altimetry and a particle filter

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A navigation scheme for pinpoint mars landing using radar altimetry, a digital terrain model, and a particle filter

Gaudet, B., & Furfaro, R. (2014) · Cited by 3 · see citing works

Review of advanced guidance and control algorithms for space/aerospace vehicles

Chai, R., Tsourdos, A., Savvaris, A., Chai, S., Xia, Y., & Chen, C. L. P. (2021) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2021.100696 · Cited by 222 · see citing works

Motion Planning for Mobile Robots—Focusing on Deep Reinforcement Learning: A Systematic Review

Sun, H., Zhang, W., Yu, R., & Zhang, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3076530 · Cited by 143 · see citing works

Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions

Zavoli, A., & Federici, L. (2021) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g005794 · Cited by 122 · see citing works

PRD-MADDPG: An efficient learning-based algorithm for orbital pursuit-evasion game with impulsive maneuvers

Zhao, L., Zhang, Y., & Dang, Z. (2023) · Advances in Space Research · doi:10.1016/j.asr.2023.03.014 · Cited by 113 · see citing works

Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges

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Survey of machine learning techniques in spacecraft control design

Широбоков, М. Г., Trofimov, S. P., & Ovchinnikov, M. Y. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.05.018 · Cited by 105 · see citing works

Near-optimal interception strategy for orbital pursuit-evasion using deep reinforcement learning

Zhang, J., Zhang, K., Zhang, Y., Shi, H., Tang, L., & Li, M. (2022) · Acta Astronautica · doi:10.1016/j.actaastro.2022.05.057 · Cited by 73 · see citing works

Image-Based Deep Reinforcement Meta-Learning for Autonomous Lunar Landing

Scorsoglio, A., D’Ambrosio, A., Ghilardi, L., Gaudet, B., Curti, F., & Furfaro, R. (2021) · Journal of Spacecraft and Rockets · doi:10.2514/1.a35072 · Cited by 71 · see citing works

Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

Silvestrini, S., & Lavagna, M. R. (2022) · Drones · doi:10.3390/drones6100270 · Cited by 70 · see citing works

Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment

LaFarge, N. B., Miller, D., Howell, K. C., & Linares, R. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.05.014 · Cited by 61 · see citing works

Autonomous Six-Degree-of-Freedom Spacecraft Docking with Rotating Targets via Reinforcement Learning

Oestreich, C., Linares, R., & Gondhalekar, R. (2021) · Journal of Aerospace Information Systems · doi:10.2514/1.i010914 · Cited by 66 · see citing works

Deep reinforcement learning for rendezvous guidance with enhanced angles-only observability

Yuan, H., & Li, D. (2022) · Aerospace Science and Technology · doi:10.1016/j.ast.2022.107812 · Cited by 49 · see citing works

Reinforcement Learning for Uncooperative Space Objects Smart Imaging Path-Planning

Brandonisio, A., Lavagna, M. R., & Guzzetti, D. (2021) · The Journal of the Astronautical Sciences · doi:10.1007/s40295-021-00288-7 · Cited by 30 · see citing works

Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning

Scorsoglio, A., Furfaro, R., Linares, R., & Massari, M. (2022) · Advances in Space Research · doi:10.1016/j.asr.2022.08.002 · Cited by 31 · see citing works

Reinforcement learning-based missile terminal guidance of maneuvering targets with decoys

Tianbo, D. E. N. G., Huang, H., Fang, Y., Yan, J., & Cheng, H. (2023) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2023.05.028 · Cited by 30 · see citing works

All-aspect attack guidance law for agile missiles based on deep reinforcement learning

Gong, X., Chen, W., & Chen, Z. (2022) · Aerospace Science and Technology · doi:10.1016/j.ast.2022.107677 · Cited by 30 · see citing works

Image-based Deep Reinforcement Learning for Autonomous Lunar Landing

Scorsoglio, A., Furfaro, R., Linares, R., & Gaudet, B. (2020) · AIAA Scitech 2020 Forum · doi:10.2514/6.2020-1910 · Cited by 31 · see citing works

Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem

Herrmann, A., & Schaub, H. (2021) · Journal of Aerospace Information Systems · doi:10.2514/1.i010992 · Cited by 28 · see citing works

Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning

Qiu, X., Gao, C., Wang, K., & Jing, W. (2021) · Journal of Aerospace Engineering · doi:10.1061/(asce)as.1943-5525.0001381 · Cited by 28 · see citing works

Run Time Assured Reinforcement Learning for Safe Satellite Docking

Dunlap, K. M., Mote, M., Delsing, K., & Hobbs, K. L. (2022) · Journal of Aerospace Information Systems · doi:10.2514/1.i011126 · Cited by 27 · see citing works

Optimal guidance for hypersonic vehicle using analytical solutions and an intelligent reversal strategy

Zhou, H., Li, X., Bai, Y., & Wang, X. (2022) · Aerospace Science and Technology · doi:10.1016/j.ast.2022.108053 · Cited by 27 · see citing works

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

Zhang, C., Wang, J., Yen, G. G., Zhao, C., Sun, Q., Tang, Y. S., Qian, F., & Kurths, J. (2020) · Patterns · doi:10.1016/j.patter.2020.100050 · Cited by 28 · see citing works

An agile and intelligent dynamic economic emission dispatcher based on multi-objective proximal policy optimization

Shao, Z., Si, F., Wu, H., & Tong, X. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.107047 · Cited by 23 · see citing works

Intelligent Game Strategies in Target-Missile-Defender Engagement Using Curriculum-Based Deep Reinforcement Learning

Gong, X., Chen, W., & Chen, Z. (2023) · Aerospace · doi:10.3390/aerospace10020133 · Cited by 26 · see citing works

Distributed cooperative control with collision avoidance for spacecraft swarm reconfiguration via reinforcement learning

Sun, J., Meng, Y., Huang, J., Liu, F., & Li, S. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.01.017 · Cited by 21 · see citing works

Laboratory Experimentation of Spacecraft Robotic Capture Using Deep-Reinforcement-Learning–Based Guidance

Hovell, K., & Ulrich, S. (2022) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g006656 · Cited by 20 · see citing works

A comparative analysis of reinforcement learning algorithms for earth-observing satellite scheduling

Herrmann, A., & Schaub, H. (2023) · Frontiers in Space Technologies · doi:10.3389/frspt.2023.1263489 · Cited by 19 · see citing works

Meta-Reinforcement Learning for Spacecraft Proximity Operations Guidance and Control in Cislunar Space

Fereoli, G., Schaub, H., & Lizia, P. D. (2024) · Journal of Spacecraft and Rockets · doi:10.2514/1.a36100 · Cited by 19 · see citing works

A deep reinforcement learning-based approach to onboard trajectory generation for hypersonic vehicles

Bao, C., Zhou, X., Wang, P., He, R., & Tang, G. (2023) · The Aeronautical Journal · doi:10.1017/aer.2023.4 · Cited by 20 · see citing works

Impulsive guidance of optimal pursuit with conical imaging zone for the evader

Geng, Y., Li, Y., Guo, Y., Tang, L. D., & Huang, H. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2023.108604 · Cited by 19 · see citing works

Single-Agent Reinforcement Learning for Scalable Earth-Observing Satellite Constellation Operations

Herrmann, A., Stephenson, M. A., & Schaub, H. (2023) · Journal of Spacecraft and Rockets · doi:10.2514/1.a35736 · Cited by 18 · see citing works

A reinforcement learning approach for adaptive tracking control of a reusable rocket model in a landing scenario

Costa, B. A., Parente, F. L., Belfo, J. P., Somma, N., Rosa, P., Igreja, J. M., Belhadj, J., & Lemos, J. M. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.127377 · Cited by 18 · see citing works

Guidance law of interceptors against a high-speed maneuvering target based on deep Q -Network

Wu, M., He, X.-J., Qiu, Z.-M., & Chen, Z. (2021) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312211052742 · Cited by 17 · see citing works

Range-Aware Impact Angle Guidance Law With Deep Reinforcement Meta-Learning

Chen, L., Wang, W., Liu, Z., Lai, C., & Wang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3017480 · Cited by 16 · see citing works

Autonomous trajectory planning method for hypersonic vehicles in glide phase based on DDPG algorithm

Bao, C., Wang, P., He, R., & Tang, G. (2022) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/09544100221138911 · Cited by 14 · see citing works

Deep learning for spacecraft guidance, navigation, and control

Khoroshylov, S. V., & Redka, M. O. (2021) · Kosmìčna nauka ì tehnologìâ · doi:10.15407/knit2021.06.038 · Cited by 13 · see citing works

Cooperative Guidance Strategy for Active Spacecraft Protection from a Homing Interceptor via Deep Reinforcement Learning

Ni, W., Liu, J., Li, Z., Liu, P., & Liang, H. (2023) · Mathematics · doi:10.3390/math11194211 · Cited by 11 · see citing works

Robust solar sail trajectories using proximal policy optimization

Bianchi, C., Niccolai, L., & Mengali, G. (2024) · Acta Astronautica · doi:10.1016/j.actaastro.2024.10.065 · Cited by 12 · see citing works

Hierarchical reinforcement learning guidance with threat avoidance

Li, B., Wu, Y., & Li, G. (2022) · Journal of Systems Engineering and Electronics · doi:10.23919/jsee.2022.000113 · Cited by 11 · see citing works

Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement LearningPreprint

Oestreich, C., Linares, R., & Gondhalekar, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.03215 · Cited by 11 · see citing works

Safe Spacecraft Inspection via Deep Reinforcement Learning and Discrete Control Barrier Functions

van Wijk, D. E. J., Dunlap, K. M., Majji, M., & Hobbs, K. L. (2024) · Journal of Aerospace Information Systems · doi:10.2514/1.i011391 · Cited by 10 · see citing works

Integrated robust navigation and guidance for the kinetic impact of near-earth asteroids based on deep reinforcement learning

Yuan, H., Li, D., & Wang, J. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2023.108666 · Cited by 9 · see citing works

Run Time Assured Reinforcement Learning for Safe Satellite Docking

Dunlap, K. M., Mote, M., Delsing, K., & Hobbs, K. L. (2022) · AIAA SciTech Forum · doi:10.2514/6.2022-1853 · Cited by 8 · see citing works

Reinforcement Learning for Computational Guidance of Launch Vehicle Upper Stage

Li, S., Yan, Y., Qiao, H., Guan, X., & Li, X. (2022) · International Journal of Aerospace Engineering · doi:10.1155/2022/2935929 · Cited by 8 · see citing works

Optimizing Constrained Guidance Policy With Minimum Overload Regularization

Luo, W., Chen, L., Liu, K., Gu, H., & Lü, J. (2022) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2022.3163463 · Cited by 7 · see citing works

Closed-loop AI-aided image-based GNC for autonomous inspection of uncooperative space objects

Brandonisio, A., Bechini, M., Civardi, G. L., Capra, L., & Lavagna, M. R. (2024) · Aerospace Science and Technology · doi:10.1016/j.ast.2024.109700 · Cited by 7 · see citing works

Artificial intelligence for spacecraft guidance, navigation, and control: a state-of-the-art

Habib, T. M. (2022) · Aerospace Systems · doi:10.1007/s42401-022-00152-y · Cited by 8 · see citing works

Spacecraft Adaptive Deep Reinforcement Learning Guidance with Input State Uncertainties in Relative Motion Scenario

Brandonisio, A., Capra, L., & Lavagna, M. R. (2023) · AIAA SciTech Forum · doi:10.2514/6.2023-1439 · Cited by 7 · see citing works

Toward Explainable AI in Spacecraft Health Monitoring: Comparative Benchmarking of Anomaly Detection Models and Open-Source Datasets

Tahir, H., Jabbarpour, M. R., Vo, Q. B., Kowalczyk, R., Barr, J., & Bessell, T. (2025) · IEEE Access · doi:10.1109/access.2025.3639551 · Cited by 7 · see citing works

Deep Reinforcement Learning Guidance with Impact Time Control

Li, G., Li, S. Z., Li, B., & Wu, Y. (2024) · Journal of Systems Engineering and Electronics · doi:10.23919/jsee.2024.000111 · Cited by 6 · see citing works

Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning

Kim, I., & Singh, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-81377-z · Cited by 6 · see citing works

Reinforced Model Predictive Guidance and Control for Spacecraft Proximity Operations

Capra, L., Brandonisio, A., & Lavagna, M. R. (2025) · Aerospace · doi:10.3390/aerospace12090837 · Cited by 5 · see citing works

Transformer-Based Robust Feedback Guidance for Atmospheric Powered Landing

Carradori, J., Sagliano, M., & Mooij, E. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-2771 · Cited by 5 · see citing works

Semi-analytical adaptive guidance computation for autonomous planetary landing

Lunghi, P., Lizia, P. D., Armellin, R., & Lavagna, M. R. (2022) · Acta Astronautica · doi:10.1016/j.actaastro.2022.03.005 · Cited by 5 · see citing works

Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control

Hobbs, K. L., & Li, B. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-2583 · Cited by 5 · see citing works

Adaptive Neural Formation-Keeping Control for Satellites in a Low-Earth Orbit

Широбоков, М. Г., & Trofimov, S. P. (2021) · Cosmic Research · doi:10.1134/s0010952521060113 · Cited by 5 · see citing works

Combining machine-learned regression models with Bayesian inference to interpret remote sensing data

Cambioni, S., Asphaug, E. I., & Furfaro, R. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818721-0.00020-3 · Cited by 5 · see citing works

Deep Reinforcement Learning-Based Impact Angle-Constrained Adaptive Guidance Law

Hu, Z. M., Yi, W., & Xiao, L. (2025) · Mathematics · doi:10.3390/math13060987 · Cited by 4 · see citing works

Precision landing of autonomous parafoil system via deep reinforcement learning

Wei, Z., & Shao, Z. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521056 · Cited by 5 · see citing works

Observation Method for Autonomous Maneuver of Spacecraft under Emergency Conditions

Cong, Y., Liu, T., Wei, C., & Guan, G. S. (2024) · Dynamic Games and Applications · doi:10.1007/s13235-024-00576-5 · Cited by 4 · see citing works

Spacecraft Control Design Methodology Based on Reinforcement Learning Methods

Широбоков, М. Г. (2024) · Cosmic Research · doi:10.1134/s0010952524600768 · Cited by 4 · see citing works

SPACECRAFT RELATIVE ON-OFF CONTROL VIA REINFORCEMEN T LEARNING

Khoroshylov, S. V., & Wang, C. (2024) · Kosmìčna nauka ì tehnologìâ · doi:10.15407/knit2024.02.003 · Cited by 4 · see citing works

Deep Reinforcement Learning as Guidance for Aerospace Robotics

Hovell, K. (2022) · doi:10.22215/etd/2022-14922 · Cited by 3 · see citing works

Autonomous Small Body Science Operations Using Reinforcement Learning

Herrmann, A., & Schaub, H. (2024) · Journal of Aerospace Information Systems · doi:10.2514/1.i011376 · Cited by 2 · see citing works

Integrated Guidance and Control Based on Improved Backstepping Method Under Input Saturation and Attitude Angle Constraints

Dong, F., Zhang, X., & Tan, P. (2024) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3921 · Cited by 2 · see citing works

Reinforcement Learning-Based Autonomous Control of a Spacecraft in the Solar Gravitational Lens’ Focus

Широбоков, М. Г., Korneev, K. R., & Perepukhov, D. (2025) · Cosmic Research · doi:10.1134/s0010952525601100 · Cited by 2 · see citing works

Two-Stage Strategy for Orbital Inspection Game Using Reinforcement Learning

He, J., Huo, C., Wang, H., Chen, S., & Jing, H. (2025) · Advances in Astronautics · doi:10.1007/s42423-025-00194-2 · Cited by 2 · see citing works

Deep reinforcement learning for distributed spacecraft formation control enhanced by SE(3) dynamics

Jin, W., Chen, T., Wei, Z., & Hu, H. (2026) · Aerospace Science and Technology · doi:10.1016/j.ast.2026.111967 · Cited by 2 · see citing works

Review of Advanced Guidance and Control Methods

Chai, R., Chen, K., Cui, L., Chai, S., İnalhan, G., & Tsourdos, A. (2023) · Springer aerospace technology · doi:10.1007/978-981-99-4311-1_6 · Cited by 2 · see citing works

Solar Sail Transfers under Uncertainties: A Deep Reinforcement Learning Approach

Bianchi, C., Niccolai, L., & Mengali, G. (2025) · Space Science & Technology · doi:10.34133/space.0297 · Cited by 2 · see citing works

Quantifying Impact of Information Sharing on Satellite Navigation

Dolan, S. I., Nayak, S. N., & Balakrishnan, H. (2025) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g008921 · Cited by 2 · see citing works

Leveraging Curriculum Reinforcement Learning for Rocket Powered Landing Guidance and Control

Yuan, H., Zhao, Y., Mou, Y., & Wang, X. (2021) · China Automation Congress (CAC) · doi:10.1109/cac53003.2021.9728176 · Cited by 2 · see citing works

Formation control in low-Earth orbits by means of machine learning methodsPreprint

Широбоков, М. Г., & Trofimov, S. P. (2020) · Keldysh Institute Preprints · doi:10.20948/prepr-2020-19 · Cited by 2 · see citing works

Run-Time Assured Reinforcement Learning for Safe Spacecraft Rendezvous with Obstacle Avoidance

Xiao, Y., Yang, Z., Zhou, Y., & Huang, Z. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8664-4_17 · Cited by 1 · see citing works

Uncertainty-Aware Autonomous Mars Landing Guidance With Curriculum Reinforcement Learning

Choi, J., & Ahn, J. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-1933 · Cited by 1 · see citing works

Maneuvering target interception via deep reinforcement learning guidance using only line-of-sight rate measurement

Ren, L., Xian, Y., Liu, Z., Li, S., Zhang, D., & Guo, W. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110523 · Cited by 1 · see citing works

Human Locomotion Monitoring in Space Flight: Retrospective Nonparametric Changepoint Detection Methods

Шестопeров, А. И., Ivchenko, A. V., & Fomina, E. V. (2025) · Microgravity Science and Technology · doi:10.1007/s12217-025-10169-5 · Cited by 1 · see citing works

Adaptive Optimal Path Following Guidance for Fixed-Wing Aerial Vehicles

Dodge, A. J., Baruth, A., & Keshmiri, S. (2025) · International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas65942.2025.11007874 · Cited by 1 · see citing works

A Data‐Driven Approach to Integrated Adaptive Morphing and Guidance for Cruise Missiles

Wu, M., Huang, J., Cai, X., He, X., Chen, Z., Zheng, C., & Liu, Y. (2025) · International journal of mechanical system dynamics · doi:10.1002/msd2.70039 · Cited by 1 · see citing works

Robust Intelligent Guidance Method for Distant Retrograde Orbit Station-Keeping

Huang, X., Li, S., & Yang, H. (2025) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g008687 · Cited by 1 · see citing works

Transformer-Based Atmospheric Rocket Landing Guidance Using Meta-Reinforcement Learning

Carradori, J., Sagliano, M., & Mooij, E. (2026) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g009331 · Cited by 1 · see citing works

Interfered fluid-based integrated avoidance guidance and control for hypersonic reentry vehicle

Yu, M., Wang, X., Xu, B., Hun, L., & Yang, L. (2026) · Aerospace Science and Technology · doi:10.1016/j.ast.2026.112132 · Cited by 1 · see citing works

Modern Spacecraft GNC

Silvestrini, S., Cassinis, L. P., Hinz, R., González-Arjona, D., Tipaldi, M., Visconti, P., Corradino, F., Pesce, V., & Colagrossi, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90916-7.00015-9 · Cited by 1 · see citing works

Bridging Earth and Space: A Flexible and Resilient Federated Learning Framework Deployed on the International Space StationPreprint

Casaletto, J. A., Foley, P., Fernandez, M., Sanders, L., Scott, R. T., Ranjan, S., Jain, S., Haynes, N., Boerma, M., Costes, S. V., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.14.633017 · Cited by 1 · see citing works

Good Match between “Stop-and-Go” Strategy and Robust Guidance Based on Deep Reinforcement Learning

Yuan, H., & Li, D. (2022) · Aerospace · doi:10.3390/aerospace9100569

Pinpoint lunar landing with non-throttleable engine

Wang, H., Wang, Z., Wang, Z., Zhao, Y., & Zhang, H. (2022) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc55256.2022.10034375

Demonstration And Analysis of The Guiding Control System for Aerospace Crafts

Chen, K. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v38i.5970

Autonomous Navigation of Rovers Using ML and DL Techniques

Bhushan, M., Singal, M., Layek, S., & Negi, A. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-6684-8171-4.ch008

Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance

Scorsoglio, A., Ghilardi, L., & Furfaro, R. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-25755-1_4

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept

Liu, D. D., Hu, L., Zhang, Q., Ye, T., Naseem, U., & Lai, Z. Y. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i10.26421

Guidance and control method for autonomous obstacle avoidance soft landing of multi-vector engine aircraft

Li, Z., Wu, X., Fang, H., Li, Q., & Yao, Y. (2023) · doi:10.1117/12.3006432

Deep Reinforcement Learning Compensation Guidance Law for Intercepting Maneuvering Targets Using Only Line-of-Sight Rate MeasurementPreprint

Ren, L., Xian, Y., Liu, Z., Zhang, D., & Guo, W. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4783502

التفاعل بين نمط الإبحار (التوجيه المباشر/ فرز الروابط) في بيئة التعلم التكيفية والأسلوب المعرفي (المندفع/المتروي) وأثره في تنمية مهارات تطوير الإنفوجرافيك والتنور التكنولوجي لدى الطلاب المعلمين

القباني, ن. ح., & شعبان, ع. ف. ح. (2024) · تکنولوجيا التعليم سلسلة دراسات وبحوث · doi:10.21608/tesr.2024.358966

Two-Dimensional Ballistic Correction Decision-Making Based on Constrained Reinforcement Learning

Lei, X., Zhang, L., & Zhu, L. (2024) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126625500306

Методика построения управления космическими аппаратами с использованием методов обучения с подкреплением

Широбоков, М. Г. (2025) · Cosmic Research · doi:10.31857/s0023420624050082

Spacecraft Autonomous Collision Avoidance and Maneuver Based on Deep Reinforcement Learning

Han, J., Li, Y., Yang, J., & Wang, T. (2025) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2025.11.297

AstroArm: Robotic Hand Simulation Environment for Satellite Servicing

Panteli, E., Chopin, J. P., & Chiera, B. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-6888-8_10

Efficient Reinforcement Learning for Satellite Evasion Tasks in Limited Observable and Orbit-Constrained Environments

Wei, L., Ning, X., Lian, X., Yang, K., Ni, T., Chen, F., Tang, R., Chen, Z., & Bo, L. (2026) · Space Science & Technology · doi:10.34133/space.0501

Learning-based Framework for Impulsive Optical Imaging Orbital Games with Awareness DelayPreprint

Kong, L., 朱月和, Luo, Y., & Wang, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6582440

Adaptive Guidance with Reinforcement Meta LearningPreprint

Gaudet, B., & Linares, R. (2019) · arXiv (Cornell University) · doi:10.13140/rg.2.2.31489.40809 · Cited by 15 · see citing works

Terminal adaptive guidance via reinforcement meta-learning: Applications to autonomous asteroid close-proximity operations

Gaudet, B., Linares, R., & Furfaro, R. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.02.036 · Cited by 93 · see citing works

Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions

Federici, L., Scorsoglio, A., Zavoli, A., & Furfaro, R. (2022) · Acta Astronautica · doi:10.1016/j.actaastro.2022.08.047 · Cited by 41 · see citing works

Seeker-based adaptive guidance via reinforcement meta-learning applied to asteroid close proximity operationsPreprint

Mario, C., Linares, R., Folcik, Z. J., Miller, D., Hattis, P. D., Davé, P., Cahoy, K., & Gondelach, D. J. (2019) · DSpace@MIT (Massachusetts Institute of Technology)

Adaptive pinpoint and fuel efficient mars landing using reinforcement learning

Gaudet, B., & Furfaro, R. (2014) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2014.7004667 · Cited by 45 · see citing works