Universal Value Function Approximators

Tom Schaul, Daniel Horgan, Karol Gregor, David Silver

Abstract: Value functions are a core component of reinforcement learning. The main idea is to to construct a single function approximator V(s; theta) that estimates the long-term reward from any state s, usi...