每天一篇论文 296/365 Reinforcement Learning Tracking Control for Robotic Manipulator

时间 2021-01-12

标签每天一篇论文365 繁體版

原文原文链接

Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model 摘要强化学习（RL）是一种通过与环境交互来获得最优控制策略的有效学习方法。然而，RL在执行连续控制任务时面临许多挑战。本文在不需要了解和学习机械手动力学模型的情况下，提出了一种基于核函数的RL动力学模型。另

>>阅读原文<<

1. 每天一篇论文 295/365Residual Reinforcement Learning for Robot Control
2. 每天一篇论文 289/365Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
3. 论文：Robotic Arm Representation Using Image-Based Feedback for Deep Reinforcement Learning
4. [Reinforcement Learning] Model-Free Control
5. Deep Reinforcement Learning with Iterative Shift for Visual Tracking
6. 每天一篇论文 310/365 Survey of Model-Based Reinforcement Learning Applications on Robotics
7. Reinforcement Learning: Model-free control
8. 每天一篇论文 350/365 MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navig
9. #每天一篇论文 258/365 Beyond Pixels: Leveraging Geometry and Shape Cues for OnlineMulti-Object Tracking
10. Learning Discriminative Model Prediction for Tracking --- 论文翻译
更多相关文章...
• ASP.NET HtmlSelect Control - ASP.NET 教程
• Swift for 循环 - Swift 教程
• 三篇文章了解 TiDB 技术内幕——说存储
• 三篇文章了解 TiDB 技术内幕 —— 说计算

最新文章

1. JDK JRE JVM,JDK卸载与安装
2. Unity NavMeshComponents 学习小结
3. Unity技术分享连载（64）|Shader Variant Collection|Material.SetPassFast
4. 为什么那么多人用“ji32k7au4a83”作密码？
5. 关于Vigenere爆0总结
6. 图论算法之最小生成树（Krim、Kruskal）
7. 最小生成树简单入门
8. POJ 3165 Traveling Trio 笔记
9. 你的快递最远去到哪里呢
10. 云徙探险中台赛道：借道云原生，寻找“最优路线”

本站公众号

欢迎关注本站公众号,获取更多信息

1. 每天一篇论文 295/365Residual Reinforcement Learning for Robot Control
2. 每天一篇论文 289/365Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment
3. 论文：Robotic Arm Representation Using Image-Based Feedback for Deep Reinforcement Learning
4. [Reinforcement Learning] Model-Free Control
5. Deep Reinforcement Learning with Iterative Shift for Visual Tracking
6. 每天一篇论文 310/365 Survey of Model-Based Reinforcement Learning Applications on Robotics
7. Reinforcement Learning: Model-free control
8. 每天一篇论文 350/365 MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navig
9. #每天一篇论文 258/365 Beyond Pixels: Leveraging Geometry and Shape Cues for OnlineMulti-Object Tracking
10. Learning Discriminative Model Prediction for Tracking --- 论文翻译

>>更多相关文章<<