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Shielded Deep Reinforcement Learning for Complex Spacecraft Tasking
March 12, 2024, 4:41 a.m. | Robert Reed, Hanspeter Schaub, Morteza Lahijanian
cs.LG updates on arXiv.org arxiv.org
Abstract: Autonomous spacecraft control via Shielded Deep Reinforcement Learning (SDRL) has become a rapidly growing research area. However, the construction of shields and the definition of tasking remains informal, resulting in policies with no guarantees on safety and ambiguous goals for the RL agent. In this paper, we first explore the use of formal languages, namely Linear Temporal Logic (LTL), to formalize spacecraft tasks and safety requirements. We then define a manner in which to construct …
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