To implement the Value Iteration algorithm and compute the optimal value function and optimal deterministic policy for a given finite Markov Decision Process (MDP). Evaluate the learned policy by ...

This project implements a reinforcement learning approach using Policy Iteration to solve the Multi-Agent Package Delivery (MAPD) problem in a grid-based environment with uncertainty. The agents must ...

Abstract: Though policy evaluation error profoundly affects the direction of policy optimization and the convergence property, it is usually ignored in policy ...

Iteration is the process of repeating steps. Iteration allows algorithms to be simplified by stating that certain steps will repeat until told otherwise. This makes designing algorithms quicker and ...

Abstract: A recent work on a fixed point iteration (FPI) al-gorithm for time-of-arrival localization has shown great promise for lower implementation complexity than existing algorithms without ...

Iteration is the process of repeating steps. For example, a very simple algorithm for eating breakfast cereal might consist of these steps: put cereal in bowl add milk to cereal spoon cereal and milk ...