te')); return $arr; } /* 遍历用户所有主题 * @param $uid 用户ID * @param int $page 页数 * @param int $pagesize 每页记录条数 * @param bool $desc 排序方式 TRUE降序 FALSE升序 * @param string $key 返回的数组用那一列的值作为 key * @param array $col 查询哪些列 */ function thread_tid_find_by_uid($uid, $page = 1, $pagesize = 1000, $desc = TRUE, $key = 'tid', $col = array()) { if (empty($uid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('uid' => $uid), array('tid' => $orderby), $page, $pagesize, $key, $col); return $arr; } // 遍历栏目下tid 支持数组 $fid = array(1,2,3) function thread_tid_find_by_fid($fid, $page = 1, $pagesize = 1000, $desc = TRUE) { if (empty($fid)) return array(); $orderby = TRUE == $desc ? -1 : 1; $arr = thread_tid__find($cond = array('fid' => $fid), array('tid' => $orderby), $page, $pagesize, 'tid', array('tid', 'verify_date')); return $arr; } function thread_tid_delete($tid) { if (empty($tid)) return FALSE; $r = thread_tid__delete(array('tid' => $tid)); return $r; } function thread_tid_count() { $n = thread_tid__count(); return $n; } // 统计用户主题数 大数量下严谨使用非主键统计 function thread_uid_count($uid) { $n = thread_tid__count(array('uid' => $uid)); return $n; } // 统计栏目主题数 大数量下严谨使用非主键统计 function thread_fid_count($fid) { $n = thread_tid__count(array('fid' => $fid)); return $n; } ?>ros - How to test the saved HD5 model saved by the DQN model of the turtlebot3_machine learning github in the Gazebo simulation

科技改变生活-雨落星辰 - 所有的伟大,都源于一个勇敢的开始

    最新消息：雨落星辰是一个专注网站SEO优化、网站SEO诊断、搜索引擎研究、网络营销推广、网站策划运营及站长类的自媒体原创博客
    你的位置： 首页>programmer>ros - How to test the saved HD5 model saved by the DQN model of the turtlebot3_machine learning github in the Gazebo simulation

    ros - How to test the saved HD5 model saved by the DQN model of the turtlebot3_machine learning github in the Gazebo simulation

    programmeradmin3浏览0评论

    I am trying to compare between the path planning of mobile robots using the DQN and the A* algorithms. I am using the gazebo simulator, and i am using the DQN model created by the turtlebot3_machine learning in the repository: the model generates 2 files for each episode one .h5 file and another is .json file. The .h5 file is used for the parameters and the weights of the model and the network while the .json file contains the value of the parameter epsilon for the corresponding episode. How could use the output of the training (.json and the .h5 files) to test the training of the model inside of the gazebo simulation to be compared later on with the A* algorithm.

    继续浏览有关 的文章

    与本文相关的文章

    发布评论

    评论列表(0)

    1. 暂无评论