# MAMBRL

Multi-Agent Model Based Reinforcement Learning

# Overview

The idea of this project is to apply reinforcement learning model-based techniques to a Multi-Agent system. The goal is that the agents try to learn a model of the environment while also learning their own policy.

This âsynthetic environmentâ can be exploited in different ways according to the type of approach selected.

## Problem Definition

Consider âNâ points on a 2D plane which need to be visited at least once by âMâ bots. Provide a path for all of the âMâ bots such that the total distance traveled by the bots is minimum.