Mathematical Foundations of Reinforcement Learning: Value and Policy Iteration Algorithms
Value Iteration streamlines the search for optimal state values by alternating between two operations: optimizing the policy relative to current value estimates, and updating those estimates using the newly identified greedy actions. Unlike standard Bellmen expectation equations, the optimality variant incorporates a maximization operator acros ...
Posted on Fri, 11 Sep 2026 16:19:02 +0000 by mlla2