The proto-value function (PVF) is a concept from the field of reinforcement learning and Markov decision processes (MDPs), particularly in relation to value functions and function approximation. The PVF provides a way to approximate value functions in environments with large or continuous state spaces by leveraging the underlying structure of the state space.
New to topics? Read the docs here!