文件名称:RL

  • 所属分类:
  • 人工智能/神经网络/遗传算法
  • 资源属性:
  • 上传时间:
  • 2018-02-09
  • 文件大小:
  • 103kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • wu***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

用python搭建了各类常用的强化学习算法的框架,通过迷宫寻路的例子实现各类算法。(The fr a mework of all kinds of commonly used reinforcement learning algorithms is built with Python, and all kinds of algorithms are realized by the example of labyrinth finding.)
相关搜索: Python
Reinforcement

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
RL\RL_DQN\logs\events.out.tfevents.1516850426.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516850537.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516850547.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516850874.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516850909.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851032.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851202.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851220.DESKTOP-J6H7TAN 74454 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851317.DESKTOP-J6H7TAN 72489 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851429.DESKTOP-J6H7TAN 72489 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851664.DESKTOP-J6H7TAN 72489 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851807.DESKTOP-J6H7TAN 72489 2018-01-25
RL\RL_DQN\logs\events.out.tfevents.1516851858.DESKTOP-J6H7TAN 72489 2018-01-25
RL\RL_DQN\main.py 779 2018-01-25
RL\RL_DQN\maze_env.py 3895 2018-01-25
RL\RL_DQN\RL_brain.py 8340 2018-01-25
RL\RL_DQN\__pycache__\maze_env.cpython-35.pyc 3208 2018-01-25
RL\RL_DQN\__pycache__\RL_brain.cpython-35.pyc 5354 2018-01-25
RL\RL_Policy_gradient\RL_brain.py 4173 2018-01-26
RL\RL_Policy_gradient\run_CartPole.py 1690 2018-01-26
RL\RL_Policy_gradient\__pycache__\RL_brain.cpython-35.pyc 3432 2018-01-26
RL\RL_QLearning\maze_env.py 4271 2018-01-26
RL\RL_QLearning\RL_brain.py 1373 2018-01-27
RL\RL_QLearning\run.py 994 2018-01-27
RL\RL_QLearning\__pycache__\maze_env.cpython-35.pyc 3752 2018-01-26
RL\RL_QLearning\__pycache__\RL_brain.cpython-35.pyc 1783 2018-01-27
RL\RL_Sarsa\maze_env.py 4271 2018-01-22
RL\RL_Sarsa\RL_brain.py 1364 2018-01-22
RL\RL_Sarsa\run.py 1138 2018-01-22
RL\RL_Sarsa\__pycache__\maze_env.cpython-35.pyc 3748 2018-01-22
RL\RL_Sarsa\__pycache__\RL_brain.cpython-35.pyc 1746 2018-01-22
RL\RL_SarsaLambda\maze_env.py 4271 2018-01-22
RL\RL_SarsaLambda\RL_brain.py 1734 2018-01-22
RL\RL_SarsaLambda\run.py 1194 2018-01-22
RL\RL_SarsaLambda\__pycache__\maze_env.cpython-35.pyc 3754 2018-01-22
RL\RL_SarsaLambda\__pycache__\RL_brain.cpython-35.pyc 2027 2018-01-22
RL\RL_DQN\logs 0 2018-02-09
RL\RL_DQN\__pycache__ 0 2018-02-09
RL\RL_Policy_gradient\__pycache__ 0 2018-02-09
RL\RL_QLearning\__pycache__ 0 2018-02-09
RL\RL_Sarsa\__pycache__ 0 2018-02-09
RL\RL_SarsaLambda\__pycache__ 0 2018-02-09
RL\RL_DQN 0 2018-02-09
RL\RL_Policy_gradient 0 2018-02-09
RL\RL_QLearning 0 2018-02-09
RL\RL_Sarsa 0 2018-02-09
RL\RL_SarsaLambda 0 2018-02-09
RL 0 2018-02-09

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