Single-Agent Attention Actor–Critic: A Deep Reinforcement Learning-Based Solution for Low-Thrust Spacecraft Trajectory Optimization
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DOI: 10.1109/taes.2025.3569615
Abstract: This article introduces a deep reinforcement learning (DRL)-based approach for autonomous planning of low-thrust spacecraft trajectories, while addressing the intricate challenges of orbital dynamics and mission design. We propose a single-agent attention actor–critic (SA3C) algorithm,… read more here.
Keywords: spacecraft; low thrust; attention; thrust spacecraft ... See more keywords