Autonomous reinforcement of behavioral sequences in neural dynamics

The DN-SARSA(λ) model provides a framework which shows how computational learning algorithms can be incorporated into a continuous neural-dynamical model. This enables autonomous learning and acting in continuous and dynamic environments, a challenge that is easily overlooked when formalizing the learning problem in discretized spaces without accounting for their coupling to sensory-motor dynamics.