A SAC controller with a DeepONet pretrained on backstepping stabilizes a first-order hyperbolic PDE with spatially-varying delay faster and with less steady-state error than plain SAC.
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Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State Delay
A SAC controller with a DeepONet pretrained on backstepping stabilizes a first-order hyperbolic PDE with spatially-varying delay faster and with less steady-state error than plain SAC.