An implementation efficient learning algorithm for adaptive control using associative content addressable memory

Three modifications to the Boxes-ASE/ACE reinforcement learning improves implementation efficiency and performance. A state history queue (SHQ) eliminates computations for temporally insignificant states. A dynamic link table only allocates control memory to states the system traverses. CMAC state a... View More