Chidentree Treesatayapun

Priority-driven reinforcement learning for safe control: addressing internal dependent state constraints in non-affine discrete-time systems

This work presents a model-free reinforcement learning methodology for output tracking control of unknown non-affine discrete-time systems with explicit safety guarantees on internal states. The proposed framework employs a fuzzy rule-emulated actor-critic architecture – built on two Multi-Input Fuzzy Rule-Emulated Net...