A predictive learning-based pursuit strategy for the multiple-to-one orbital pursuit-evasion game
Researchers develop a predictive learning-based pursuit strategy for the multiple-to-one orbital pursuit-evasion game, achieving a 95% capture success rate. The strategy combines evader action prediction with the Deep Deterministic Policy Gradient algorithm, converging faster and achieving higher rewards than conventional methods.
SourceBeijing Institute of Technology Press Co., Ltd·JournalSpace: Science & Technology·DateSep 11, 2026