Palavra-chave: REINFORCEMENT LEARNING

CMAC CURIOSITY DRIVEN-LEARNING NEURAL NETWORKS NEURAL CONTROL LOAD ANALYSIS ROTEAMENTO MODULE-BASED LEARNING COMFORT ACTION SELECTION 5G DEEP REINFORCEMENT LEARNING NESTING PROBLEM MACHINE LEARNING CONTROLE DE ADMISSÃO COGNITIVE ARCHITECTURE COGNITIVE ROBOTICS SELF-DISTRIBUTING SYSTEMS HEMS ROBOTICS FUZZY CONTROL WORLD MODELS COMPUTING CONTINUUM ENERGY-EFFICIENT COMPUTING SDN REDES SEM FIO ARTIFICIAL NEURAL NETWORKS INTRINSIC MOTIVATION RL Q-LEARNING GENETIC ALGORITHM PID CONTROL