首页> 外文学位 >Utilizing a Discrete Event Simulation of Material Handling Plans to Calculate Reinforcement Learning Rewards.

【24h】

Utilizing a Discrete Event Simulation of Material Handling Plans to Calculate Reinforcement Learning Rewards.

机译：利用物料处理计划的离散事件模拟来计算强化学习奖励。

获取原文

获取原文并翻译 | 示例

页面导航

著录项
相似文献
相关主题

著录项

作者
Preston, Ryan A.;
展开▼
作者单位

The University of Alabama in Huntsville.;

展开▼
授予单位 The University of Alabama in Huntsville.;
学科 Computer science.
学位 M.S.
年度 2017
页码 138 p.
总页数 138
原文格式 PDF
正文语种 eng
中图分类 TS97-4;
关键词
入库时间 2022-08-17 11:37:14

相似文献

外文文献
中文文献
专利

1. A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment [J] . Yongkuk Jeong, Tarun Kumar Agrawal, Erik Flores-García, Procedia CIRP . 2021,第a期

机译：动态生产物流环境中材料处理任务分配和路径规划的加固学习模型
2. SIMULATION ANALYSIS OF A DEEP REINFORCEMENT LEARNING APPROACH FOR TASK SELECTION BY AUTONOMOUS MATERIAL HANDLING VEHICLES [J] . Maojia Patrick Li, Prashant Sankaran, Michael E. Kuhl, Proceedings of the Workshop on Principles of Advanced and Distributed Simulation . 2018,第CDaROM1期

机译：自主材料处理车辆任务选择深增强学习方法的仿真分析
3. Modeling Production Scheduling Problems as Reinforcement Learning Environments based on Discrete-Event Simulation and OpenAI Gym [J] . Sebastian Lang, Maximilian Kuetgens, Paul Reichardt, IFAC PapersOnLine . 2021,第1期

机译：基于离散事件仿真和Openai健身房的强化学习环境建模生产调度问题
4. A discrete event simulation-based multi-objective reinforcement learning reward function for optimizing manufacturing material handling [C] . Swetha Govindaiah, Mikel D. Petty Simulation Innovation Workshop . 2021

机译：基于离散的事件仿真的多目标强化学习奖励功能，用于优化制造材料处理
5. Using qualitative discrete event simulation to calculate near exact output statistics. [D] . Leow, Yen Ping. 2008

机译：使用定性离散事件模拟来计算接近精确的输出统计信息。
6. Mechanical thrombectomy in stroke – planning for service expansion using discrete event simulation [O] . Dipankar Dutta, Frances Parry, Mudhar Obaid, 2020

机译：中风的机械血栓切除术–使用离散事件模拟计划服务扩展
7. Optimising discrete event simulation models using a reinforcement learning agent [O] . Creighton, Douglas, Nahavandi, Saeid 2002

机译：使用强化学习代理优化离散事件仿真模型

Utilizing a Discrete Event Simulation of Material Handling Plans to Calculate Reinforcement Learning Rewards.

著录项

相似文献

相关主题

期刊订阅