Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.
Delves into the neural control of movement, focusing on spinal motor neurons and motor units, exploring techniques like EMG recordings and wearable neural interfaces.