Reinforcement Learning (RL) achieves lower time response and better model generalization
in Job Shop Scheduling Problem (JSSP). To explain the current overall research status of …

In recent years, robot-based intelligent garage (RIG) has shown its effectiveness in
alleviating the problem of" difficult parking" in cities with its high capacity, high efficiency, and …

**年来基于移动机器人的智能车库(Robot-based intelligent garage, RIG) 以高容量,
高效率和高安全性的特点, 在缓解城市“停车难” 问题彰显卓越功效. RIG 作为智能交通系统的 …

To solve the difficulty in job scheduling in the complex and transient multi-user, multi-queue,
and multi-data-center cloud computing environment, this paper proposed a job scheduling …

**化学**在车间调度上获得了较低的时间响应和较优的模型泛化性. 为阐述基于**化学**的车间
调度问题整体研究现状, 总结当前基于**化学**的调度框架, 同时为后续相关研究奠定基础 …

With the increasing scale of domestic power system and the continuous deepening of the
reform of domestic power market and carbon emission market, the reasonable arrangement …

针对复杂三维障碍环境, 提出一种基于深度**化学**的无人机(Unmanned aerial vehicles, UAV)
反应式扰动流体路径规划架构. 该架构以一种受约束扰动流体动态系统算法作为路径规划的基本 …

A future tasks considering deep Q-network (F-DQN) algorithm was proposed to output real-
time scheduling results of automated guided vehicles (AGVs) at automated terminals. This …

To shorten the time spent and reduce the troubleshooting cost of traditional heuristic
methods, a method of generating a troubleshooting strategy based on reinforcement …

基于深度**化学**的配电网故障恢复拓扑控制策略, 文章首先设计配电网拓扑状态表征和决策
动作规则支撑组合优化求解; 其次, 利用改进指针网络结构配合深度**化学**算法实现适用于多 …