Approximate value function for vehicle routing: heuristic formula I if d(z(k); bk) > T (t + 1) for some k, then ~vt+1(z(1); : : : ; z(m); S) = 1

Approximate Dynamic Programming (ADP), also sometimes referred to as neuro-dynamic programming, attempts to overcome the limitations of value and policy iteration in large state …

Approximate Dynamic Programming (ADP) is a modeling framework, based on an MDP model, that o ers several strategies for tackling the curses of dimensionality in large, multi-period, …

This lecture: Revisit the framework of Approximate Dynamic Programming. Under the 2 sources of error (estimation + function approximation), what can we say about resulting estimates? …

Approximate Dynamic Programming (ADP), also sometimes referred to as neuro-dynamic programming, attempts to overcome the limitations of value iteration in large state spaces …

There are many approaches: Manual/trial-and-error approach Problem approximation Simulation-based approaches (we will focus on these): “neuro-dynamic programming” or “reinforcement …

Approximate dynamic programming (ADP or RLADP) includes a wide variety of general methods to solve for optimal decision and control in the face of complexity, nonlinearity, stochasticity, …