登录
首页 » Python » MaCA-master

MaCA-master

于 2021-04-28 发布
0 319
下载积分: 1 下载次数: 11

代码说明:

说明:  中国电子科技集团公司认知与智能技术重点实验室发布的MaCA(Multi-agent Combat Arena)环境,是国内首个可模拟军事作战的轻量级多智能体对抗与训练平台,是多智能体对抗算法研究、训练、测试和评估的绝佳环境,可支持作战场景和规模自定义,智能体数量和种类自定义,智能体特征和属性自定义,支持智能体行为回报规则和回报值自定义等。(MaCA (multi agent combat) issued by the Key Laboratory of cognitive and intelligent technology of China Electronic Technology Corporation Arena) environment is the first lightweight multi-agent confrontation and training platform that can simulate military operations in China. It is an excellent environment for the research, training, testing and evaluation of multi-agent confrontation algorithms. It can support the customization of battle scenarios and scales, the number and types of agents, the characteristics and attributes of agents, and the behavior return rules and values of agents And so on.)

文件列表:

MaCA-master\.gitignore, 1635 , 2019-05-05
MaCA-master\.idea\MaCA-master.iml, 687 , 2019-12-21
MaCA-master\.idea\misc.xml, 294 , 2019-12-21
MaCA-master\.idea\modules.xml, 281 , 2019-12-21
MaCA-master\.idea\other.xml, 239 , 2019-12-21
MaCA-master\.idea\workspace.xml, 21122 , 2020-02-16
MaCA-master\agent\base_agent.py, 554 , 2019-05-05
MaCA-master\agent\fix_rule\agent.py, 943 , 2019-05-05
MaCA-master\agent\fix_rule\agent_core.py, 28387 , 2019-05-05
MaCA-master\agent\fix_rule\license.lic, 212 , 2019-05-05
MaCA-master\agent\fix_rule\product.key, 140 , 2019-05-05
MaCA-master\agent\fix_rule\pyshield.key, 140 , 2019-05-05
MaCA-master\agent\fix_rule\pyshield.lic, 288 , 2019-05-05
MaCA-master\agent\fix_rule\pytransform.py, 8607 , 2019-05-05
MaCA-master\agent\fix_rule\_pytransform.dll, 697856 , 2019-05-05
MaCA-master\agent\fix_rule\_pytransform.dylib, 650764 , 2019-05-05
MaCA-master\agent\fix_rule\_pytransform.so, 720936 , 2019-05-05
MaCA-master\agent\fix_rule\__pycache__\agent.cpython-37.pyc, 1190 , 2019-12-21
MaCA-master\agent\fix_rule\__pycache__\agent_core.cpython-37.pyc, 7271 , 2019-12-21
MaCA-master\agent\fix_rule\__pycache__\pytransform.cpython-37.pyc, 7690 , 2019-12-29
MaCA-master\agent\fix_rule_no_att\agent.py, 1620 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\agent_core.py, 21435 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\license.lic, 212 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\product.key, 140 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\pyshield.key, 140 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\pyshield.lic, 288 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\pytransform.py, 8607 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\_pytransform.dll, 697856 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\_pytransform.dylib, 650764 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\_pytransform.so, 720936 , 2019-05-05
MaCA-master\agent\fix_rule_no_att\__pycache__\agent.cpython-37.pyc, 1204 , 2019-12-21
MaCA-master\agent\fix_rule_no_att\__pycache__\agent_core.cpython-37.pyc, 5540 , 2019-12-21
MaCA-master\agent\simple\agent.py, 2530 , 2019-05-05
MaCA-master\agent\simple\dqn.py, 3976 , 2019-05-05
MaCA-master\agent\__pycache__\base_agent.cpython-37.pyc, 861 , 2019-12-21
MaCA-master\common\agent_process.py, 4663 , 2019-05-05
MaCA-master\common\__pycache__\agent_process.cpython-37.pyc, 4037 , 2019-12-21
MaCA-master\configuration\reward.py, 2859 , 2019-05-05
MaCA-master\configuration\system.py, 461 , 2019-05-05
MaCA-master\configuration\__pycache__\reward.cpython-37.pyc, 3309 , 2019-12-21
MaCA-master\configuration\__pycache__\system.cpython-37.pyc, 714 , 2019-12-21
MaCA-master\doc\MaCA环境说明.pdf, 879094 , 2019-05-05
MaCA-master\doc\tutorial.md, 23456 , 2019-05-05
MaCA-master\environment\interface.py, 9637 , 2019-05-05
MaCA-master\environment\license.lic, 224 , 2019-05-05
MaCA-master\environment\product.key, 140 , 2019-05-05
MaCA-master\environment\pyshield.key, 140 , 2019-05-05
MaCA-master\environment\pyshield.lic, 288 , 2019-05-05
MaCA-master\environment\pytransform.py, 8607 , 2019-05-05
MaCA-master\environment\render\render.py, 28159 , 2019-05-05
MaCA-master\environment\render\render_pic.py, 45879 , 2019-05-05
MaCA-master\environment\render\resource\1000_1000.png, 8931 , 2019-05-05
MaCA-master\environment\render\resource\80_20.png, 153 , 2019-05-05
MaCA-master\environment\render\resource\detector-blue-20.png, 18332 , 2019-05-05
MaCA-master\environment\render\resource\detector-red-20.png, 18519 , 2019-05-05
MaCA-master\environment\render\resource\fighter-blue-20.png, 15954 , 2019-05-05
MaCA-master\environment\render\resource\fighter-red-20.png, 16090 , 2019-05-05
MaCA-master\environment\render\__init__.py, 663 , 2019-05-05
MaCA-master\environment\render\__pycache__\render_pic.cpython-37.pyc, 11648 , 2019-12-21
MaCA-master\environment\render\__pycache__\__init__.cpython-37.pyc, 342 , 2019-12-21
MaCA-master\environment\world\config.py, 30135 , 2019-05-05
MaCA-master\environment\world\detection_calc.py, 39111 , 2019-05-05
MaCA-master\environment\world\em_battle.py, 194507 , 2019-05-05
MaCA-master\environment\world\load_map.py, 11235 , 2019-05-05
MaCA-master\environment\world\log.py, 52971 , 2019-05-05
MaCA-master\environment\world\position_calc.py, 29419 , 2019-05-05
MaCA-master\environment\world\replay.py, 13511 , 2019-05-05
MaCA-master\environment\world\strike_calc.py, 23007 , 2019-05-05
MaCA-master\environment\world\__init__.py, 659 , 2019-05-05
MaCA-master\environment\world\__pycache__\config.cpython-37.pyc, 7707 , 2019-12-21
MaCA-master\environment\world\__pycache__\detection_calc.cpython-37.pyc, 9959 , 2019-12-21
MaCA-master\environment\world\__pycache__\em_battle.cpython-37.pyc, 48803 , 2019-12-21
MaCA-master\environment\world\__pycache__\load_map.cpython-37.pyc, 2984 , 2019-12-21
MaCA-master\environment\world\__pycache__\log.cpython-37.pyc, 13413 , 2019-12-21
MaCA-master\environment\world\__pycache__\position_calc.cpython-37.pyc, 7535 , 2019-12-21
MaCA-master\environment\world\__pycache__\replay.cpython-37.pyc, 3551 , 2019-12-21
MaCA-master\environment\world\__pycache__\strike_calc.cpython-37.pyc, 5930 , 2019-12-21
MaCA-master\environment\world\__pycache__\__init__.cpython-37.pyc, 340 , 2019-12-21
MaCA-master\environment\_pytransform.dll, 697856 , 2019-05-05
MaCA-master\environment\_pytransform.dylib, 650764 , 2019-05-05
MaCA-master\environment\_pytransform.so, 720936 , 2019-05-05
MaCA-master\environment\__pycache__\interface.cpython-37.pyc, 9021 , 2019-12-21
MaCA-master\environment\__pycache__\pytransform.cpython-37.pyc, 7687 , 2019-12-21
MaCA-master\fight.py, 9983 , 2019-12-29
MaCA-master\fight_mp.py, 9509 , 2019-05-05
MaCA-master\log\readme, 0 , 2019-05-05
MaCA-master\maps\1000_1000_2_10_vs_2_10.map, 1976 , 2019-05-05
MaCA-master\maps\1000_1000_fighter10v10.map, 1643 , 2019-05-05
MaCA-master\model\README, 0 , 2019-05-05
MaCA-master\obs_construct\simple\construct.py, 13647 , 2019-05-05
MaCA-master\obs_construct\simple\__pycache__\construct.cpython-37.pyc, 5829 , 2019-12-21
MaCA-master\README.md, 2003 , 2019-05-05
MaCA-master\replay.py, 514 , 2019-05-05
MaCA-master\testfile.py, 29 , 2019-12-29
MaCA-master\tournament\config.ini, 129 , 2019-05-05
MaCA-master\tournament\config_gen.py, 676 , 2019-05-05
MaCA-master\tournament\tournament_mp.py, 12485 , 2019-05-05
MaCA-master\train\simple\dqn.py, 7775 , 2019-12-22
MaCA-master\train\simple\main.py, 4432 , 2019-05-05
MaCA-master\train\simple\__pycache__\dqn.cpython-37.pyc, 5566 , 2019-12-22

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • peiwang
    直流配网模型,非常基础的直流配网模型,便于对直流配网的基本掌握和学习(DC distribution network model, very basic DC distribution network model, easy to grasp and learn the basic DC distribution network)
    2019-04-22 19:08:06下载
    积分:1
  • complete
    用于随机粗糙面建模的蒙特卡罗算法程序包含一维和二维算法(Monte Carlo algorithm for random rough surface modeling)
    2020-11-07 10:59:48下载
    积分:1
  • EI-Centro地震波三向
    说明:  Ei-centro地震波三向数据,可用于各大有限元数值仿真软件,输入地震加速度时程数据。(EI Centro seismic wave three-way data)
    2021-04-10 09:08:59下载
    积分:1
  • zzz1
    说明:  三相桥式全控整流电路仿真,使用晶闸管进行三相桥式全控整流电路仿真。(Three-Phase Full-Bridge Controlled Rectifier)
    2019-06-12 13:04:18下载
    积分:1
  • chapter30
    说明:  关于极限学习机的回归拟合,还有分类的实例程序(On the regression fitting of the limit learning machine and the example program of classification)
    2020-04-15 09:30:21下载
    积分:1
  • aco
    说明:  蚁群算法用来函数寻优,本代码给出了通用版本,能够很好的适应和学习(Ant colony algorithm is used to function optimization, this code gives a general version, can adapt and learn well)
    2021-04-17 09:01:27下载
    积分:1
  • UPFC
    说明:  UPFC模型,模型非常详细和系统,有助于理解潮流控制器(UPFC model, which is very detailed and systematic, helps to understand power flow controllers)
    2019-04-22 18:56:05下载
    积分:1
  • lmm_5unknown
    说明:  lm求解非线性方程组(Solving nonlinear equations by LM)
    2020-11-25 10:12:34下载
    积分:1
  • EKF_SOC
    估算锂电池soc的MATLAB simulink模型(MATLAB Simulink model for estimating SOC of lithium battery)
    2018-05-14 21:09:31下载
    积分:1
  • 平均路径长度&聚类系数计算
    本程序是完成网络的评价路径长度和聚类系数的计算。(This program is to calculate the average path length and clustering coeffient of a network.)
    2020-06-19 01:00:02下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 31今日下载