Reinforcement-Learning
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：5948KB
下载次数：4
上传日期：2018-04-15 02:58:16
上 传 者：
sh-1993
说明： 强化学习，论文工作_2017-2018（环境反向散射）
(Reinforcement-Learning,paper work_2017-2018(Ambient backscatter))
文件列表:
RL_paperwork (0, 2018-04-15)
RL_paperwork\DP_action.xls (25600, 2018-04-15)
RL_paperwork\QL_TB.eps (18298, 2018-04-15)
RL_paperwork\QL_TB.fig (31022, 2018-04-15)
RL_paperwork\QL_action.xls (25600, 2018-04-15)
RL_paperwork\Q_L_notrainslot.m (1619, 2018-04-15)
RL_paperwork\Q_Learning.m (4824, 2018-04-15)
RL_paperwork\Q_Tab.xls (26112, 2018-04-15)
RL_paperwork\RandomPermutation.m (321, 2018-04-15)
RL_paperwork\Rewardmat.m (3767, 2018-04-15)
RL_paperwork\TB_action.xls (18432, 2018-04-15)
RL_paperwork\Test_channel_10000.xlsx (70778, 2018-04-15)
RL_paperwork\Train_channel_100.xlsx (6289449, 2018-04-15)
RL_paperwork\Train_channel_20.xlsx (1256642, 2018-04-15)
RL_paperwork\Train_channel_5.xlsx (316551, 2018-04-15)
RL_paperwork\Train_channel_50.xlsx (3143853, 2018-04-15)
RL_paperwork\Valueitration.m (705, 2018-04-15)
RL_paperwork\channel_and_reward.m (6128, 2018-04-15)
RL_paperwork\channel_generate.m (660, 2018-04-15)
RL_paperwork\compare_throughput_reward.m (4623, 2018-04-15)
RL_paperwork\plot_R_h.m (456, 2018-04-15)
RL_paperwork\regenerate_test_channel.m (687, 2018-04-15)
RL_paperwork\reward_h.eps (80481, 2018-04-15)
RL_paperwork\reward_h.fig (22705, 2018-04-15)
RL_paperwork\train.fig (22704, 2018-04-15)
RL_paperwork\train10^4.fig (12844, 2018-04-15)
近期下载者：
相关文件：
收藏者：