Palavra-chave: REINFORCEMENT LEARNING

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