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Deep Reinforcement Learning for Orbital Pursuit-Evasion Game

By Zhen-Yu Li

Deep Reinforcement Learning for Orbital Pursuit-Evasion Game

By Zhen-Yu Li

- Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
84
Release Date:
2025-07-29
Publication Date:
2025-12-05
Publisher:
Eliva Press
Languages:
Original: English
ISBN10:
9999328741
ISBN13:
9789999328746
Weight:
136 g
Height:
152 cm
Width:
229 cm
Thickness:
5 cm
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