Mmutti-agentsu
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：142KB
下载次数：73
上传日期：2012-08-20 07:29:22
上 传 者：
lmajesty
说明： 多智能体工具包，可直接用来进行行多智能体强化学习算法设计与仿真
(Multi-agent toolkit, can be directly used for design and simulation of the line multi-agent reinforcement learning algorithm)
文件列表:
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\c_plothist.m (1759, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\c_viewobj.m (1691, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\c_viewspli.m (2233, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\distance.m (622, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\drawfitness.m (430, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\plotrob.m (1647, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\r_allobj.m (1567, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\r_plothist.m (1958, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\r_plotsquare.m (671, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\r_viewobj.m (1756, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\analys\r_viewspli.m (2441, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\code\bin2gray.m (377, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\code\bin2int.m (311, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\code\gray2bin.m (382, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\code\int2bin.m (373, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\dealrobo\islegal.m (556, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\dealrobo\newgoal.m (620, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\display\draw.m (178, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\callfitn.m (250, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\crosover.m (1480, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\forlegal.m (447, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\getchrom.m (811, 2000-09-29)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\getreal.m (691, 2000-09-29)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\isbreak.m (469, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\mutate.m (546, 2000-09-29)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\normal.m (557, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\genetic\select.m (900, 2000-09-25)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\initial\initial.m (1255, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\initial\saveini.m (705, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\circlmain.m (2011, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\fitness.m (1551, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\gettorqu.m (705, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\initpos.m (1245, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\kerncalc.m (2236, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\objaxis.m (370, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\precalcu.m (371, 2000-09-23)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushcircl\takerole.m (458, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushrect\fitness.m (1633, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushrect\gettorqu.m (835, 2000-09-24)
Mmutti-agentsu\muti-agents toolbox\evcb\boxpush\pushrect\initpos.m (1601, 2000-09-24)
... ...
Mutli-Agent Toolkit (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, se-
lf-organization, trajectory generation, and graphics. The toolboxes i-
nclude:
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 re-
sults 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.
Note that MAT 3.0 Copyright is reserved. Any using, addition, and modi-
fication should be acknowledged to the authors (jiming@comp.hkbu.edu.hk).
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