Guidance for Closed-Loop Transfers using Reinforcement Learning with Application to Libration Point Orbits
While human presence in cislunar space continues to expand, so too does the demand for ‘lightweight’ automated on-board processes. In nonlinear dynamical environments, computationally efficient guidance strategies are challenging. Many traditional approaches rely on either simplifying assumptions in...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Aeronautics and Astronautics (AIAA)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137731 |