MAMBRL

Overview

Multi agent model based reinforcement learning (MAM-BRL) is a relatively new field which merge together two well established scientific areas:

1. Multi agent systems(MAS): studies the complex behavior arising from a group of intelligent entities. Such individuals are not restricted to be artificial but can be animals, humans or planets in a solar system. The aim of this field is to understand, predict and sometime copy such patterns in order to comprehend the underlying rules and aid humanity.
2. Reinforcement Learning (RL) : reinforcement learning was first considered in psychology, and specifically in learning theory. Its core idea is that humans, as well as animals, learn by acting in a reality and getting a feedback which can be positive (reward) or negative (penalty). This field has also proven to be immensely helpful for artificial intelligence where is now one of its most prolific fields.