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Multi-Agent Toolkit (MAT)
3.0 (.Zip Version, .Rar
Version)
MAT 3.0 is the companion software package covered in the following
two books:
Note that MAT 3.0 Copyright is fully reserved by the authors. Any
using, copying, reproduction, distribution, addition, and modification
are allowed provided that the authors (jiming@comp.hkbu.edu.hk)
are acknowledged.
MAT 3.0 presents a set of toolboxes, implemented with MATLAB, that
we developed for conducting research studies related to multi-agent
and multi-robot reinforcement learning, adaptation, self-organization,
trajectory generation, and graphics. The toolboxes include:
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Multi-Agent Reinforcement Learning
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Evolutionary Multi-Agent Reinforcement
Learning
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Evolutionary Collective Behavior
Implementation
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Multi-Agent Self-Organization
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Evolutionary Multi-Agent Self-Organization
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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.
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