ABSTRACT
In this chapter we present a set of new toolboxes, called Multi-Agent Robotics Toolboxes,3 that we developed for conducting research studies related to multi-robot reinforcement learning, adaptation, self-organization, trajectory generation, and graphics. The toolboxes include:
Multi-Agent Reinforcement Learning
Evolutionary Multi-Agent Reinforcement Learning
Evolutionary Collective Behavior Implementation
Multi-Agent Self-Organization
Evolutionary Multi-Agent Self-Organization
These toolboxes are useful for simulation as well as for analyzing results of experiments with simulated robots. They are based on a very general method of representing the evolutionary approaches to multi-agent robotic systems by description matrices.
