Deep Reinforcement Learning for Orbital Pursuit-Evasion Game
Author:   Zhen-Yu Li
Publisher:   Eliva Press
ISBN:  

9789999328746


Pages:   84
Publication Date:   05 December 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Deep Reinforcement Learning for Orbital Pursuit-Evasion Game


Overview

This book investigates the orbital pursuit evasion game problem under continuous and impulsive maneuvers of spacecraft, integrating knowledge from multiple disciplines, such as aerospace dynamics, game theory, differential games, and artificial intelligence. It proposes the Nash-equilibrium solution and cooperative strategy for the two-spacecraft game and multi-spacecraft game based on deep reinforcement learning. Those modeling methods and intelligent training methods have certain reference value for subsequent researchers.

Full Product Details

Author:   Zhen-Yu Li
Publisher:   Eliva Press
Imprint:   Eliva Press
Dimensions:   Width: 15.20cm , Height: 0.40cm , Length: 22.90cm
Weight:   0.122kg
ISBN:  

9789999328746


ISBN 10:   9999328741
Pages:   84
Publication Date:   05 December 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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