Motivational learning is a research paradigm within artificial intelligence and computational neuroscience concerned with designing and analyzing autonomous agents whose learning processes are explicitly driven or modulated by internal motivational states, goals, or complex reward structures. This approach investigates how such intrinsic or shaped extrinsic factors influence learning efficiency, adaptability, and the emergence of sophisticated behaviors in dynamic environments.