Single Controller for Multiple Aircraft by Deep Reinforcement Learning
This approach presents an adaptable alternative to conventional control design, offering resilience to configuration changes, and providing reduced dependency on the model, and is compared with a conventional method to see if the generalized controller maintains high control performance at the level of an aircraft-spec...