找回密码
 立即注册
learning学习Reinforcement强化 | 其它视频/教程 2023-03-08 156 0star收藏 版权: . 保留作者信息 . 禁止商业使用 . 禁止修改作品
强化学习,又称奖励学习、评价学习或强化学习,是机器学习的范式和方法论之一,用于描述和解决智能体(agents)学习策略以最大化收益的过程中的问题。与环境交互或实现特定目标的问题。

课程内容从基础强化学习到进阶实践。每个阶段都有非常详细的指导和教学,可以很好的加深学生的学习能力。对强化学习的框架、网络过程、操作策略的理解,从宏观到细节,尤其是Meticulous,对于想在工作中快速应用强化学习的同学很有帮助。

(Reinforcement learning, also known as reward learning, evaluation learning, or reinforcement learning, is one of the paradigms and methodologies of machine learning, used to describe and solve problems in the process of agents (agents) learning strategies to maximize returns. A problem with interacting with the environment or achieving a specific goal.

Course content ranges from basic reinforcement learning to advanced combat. Each stage has very detailed guidance and teaching, which can well deepen students' learning ability. The understanding of the framework, network process, and operation strategy of reinforcement learning, from the macro to the details, especially Meticulous, is very helpful for students who want to quickly apply reinforcement learning in their work.)

[下载]13092310395.rar
[下载]13092329797.rar
[下载]13092304213.rar


130922m45dfah95022um44.jpg


上一篇:鸿蒙应用开发快速上手HarmonyOS开发教程
下一篇:22节抖音短视频教程训练营课