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:
- 无
- 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.)
(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 |