莫烦大大的增强学习的代码实例

上传者: runanzhanggongzi | 上传时间: 2019-12-21 21:01:08 | 文件大小: 259KB | 文件类型: zip
莫烦大大的增强学习的代码实例````

文件下载

资源详情

[{"title":"( 52 个子文件 259KB ) 莫烦大大的增强学习的代码实例","children":[{"title":"Reinforcement-learning-with-tensorflow-master","children":[{"title":"experiments","children":[{"title":"Robot_arm","children":[{"title":"arm_env.py <span style='color:#111;'> 8.28KB </span>","children":null,"spread":false},{"title":"A3C.py <span style='color:#111;'> 8.42KB </span>","children":null,"spread":false},{"title":"DDPG.py <span style='color:#111;'> 10.13KB </span>","children":null,"spread":false}],"spread":true},{"title":"2D_car","children":[{"title":"DDPG.py <span style='color:#111;'> 9.57KB </span>","children":null,"spread":false},{"title":"collision.py <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"car_env.py <span style='color:#111;'> 7.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"Solve_BipedalWalker","children":[{"title":"A3C.py <span style='color:#111;'> 8.25KB </span>","children":null,"spread":false},{"title":"DDPG.py <span style='color:#111;'> 15.72KB </span>","children":null,"spread":false},{"title":"log","children":[{"title":"events.out.tfevents.1490801027.Morvan <span style='color:#111;'> 1.07MB </span>","children":null,"spread":false}],"spread":true},{"title":"A3C_rnn.py <span style='color:#111;'> 9.71KB </span>","children":null,"spread":false}],"spread":true},{"title":"Solve_LunarLander","children":[{"title":"A3C.py <span style='color:#111;'> 9.43KB </span>","children":null,"spread":false},{"title":"run_LunarLander.py <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"DuelingDQNPrioritizedReplay.py <span style='color:#111;'> 12.72KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENCE <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.61KB </span>","children":null,"spread":false},{"title":"contents","children":[{"title":"9_Deep_Deterministic_Policy_Gradient_DDPG","children":[{"title":"DDPG.py <span style='color:#111;'> 9.47KB </span>","children":null,"spread":false},{"title":"DDPG_update.py <span style='color:#111;'> 5.67KB </span>","children":null,"spread":false}],"spread":true},{"title":"11_Dyna_Q","children":[{"title":"maze_env.py <span style='color:#111;'> 3.81KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":"run_this.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"5.1_Double_DQN","children":[{"title":"run_Pendulum.py <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 6.54KB </span>","children":null,"spread":false}],"spread":true},{"title":"6_OpenAI_gym","children":[{"title":"run_CartPole.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"run_MountainCar.py <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 8.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"3_Sarsa_maze","children":[{"title":"maze_env.py <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"run_this.py <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false}],"spread":true},{"title":"8_Actor_Critic_Advantage","children":[{"title":"AC_continue_Pendulum.py <span style='color:#111;'> 6.24KB </span>","children":null,"spread":false},{"title":"AC_CartPole.py <span style='color:#111;'> 5.72KB </span>","children":null,"spread":false}],"spread":true},{"title":"7_Policy_gradient_softmax","children":[{"title":"run_CartPole.py <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"run_MountainCar.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 4.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"5.3_Dueling_DQN","children":[{"title":"run_Pendulum.py <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 6.72KB </span>","children":null,"spread":false}],"spread":true},{"title":"10_A3C","children":[{"title":"A3C_RNN.py <span style='color:#111;'> 9.46KB </span>","children":null,"spread":false},{"title":"A3C_continuous_action.py <span style='color:#111;'> 8.12KB </span>","children":null,"spread":false},{"title":"A3C_discrete_action.py <span style='color:#111;'> 7.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"2_Q_Learning_maze","children":[{"title":"maze_env.py <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"run_this.py <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false}],"spread":false},{"title":"5_Deep_Q_Network","children":[{"title":"DQN_modified.py <span style='color:#111;'> 6.92KB </span>","children":null,"spread":false},{"title":"maze_env.py <span style='color:#111;'> 4.07KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 8.24KB </span>","children":null,"spread":false},{"title":"run_this.py <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false}],"spread":false},{"title":"5.2_Prioritized_Replay_DQN","children":[{"title":"run_MountainCar.py <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 12.03KB </span>","children":null,"spread":false}],"spread":false},{"title":"4_Sarsa_lambda_maze","children":[{"title":"maze_env.py <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"RL_brain.py <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"run_this.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false}],"spread":false},{"title":"1_command_line_reinforcement_learning","children":[{"title":"treasure_on_right.py <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"RL_cover.jpg <span style='color:#111;'> 68.07KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

  • lvyin518 :
    代码很多 谢谢
    2020-02-06
  • lvyin518 :
    代码很多 谢谢
    2020-02-06
  • u012061196 :
    代码可以用
    2018-07-24
  • CaptainDing :
    代码可以用
    2018-07-24

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明