- Deep Learning By Example
- Ahmed Menshawy
- 94字
- 2021-06-24 18:52:39
Reinforcement learning
The last type of learning in machine learning is reinforcement learning, in which there's no supervisor but only a reward signal.
So the reinforcement learning algorithm will try to make a decision and then a reward signal will be there to tell whether this decision is right or wrong. Also, this supervision feedback or reward signal may not come instantaneously but get delayed for a few steps. For example, the algorithm will take a decision now, but only after many steps will the reward signal tell whether decision was good or bad.
推薦閱讀
- Microsoft Power BI Quick Start Guide
- 智能傳感器技術與應用
- SCRATCH與機器人
- 工業機器人操作與編程
- Machine Learning with Apache Spark Quick Start Guide
- 走近大數據
- Linux系統下C程序開發詳解
- Raspberry Pi Projects for Kids
- Hands-On Microservices with C#
- Learning Couchbase
- 工業控制系統安全
- 歐姆龍CP1H型PLC編程與應用
- Deep Learning with PyTorch Quick Start Guide
- Building Smart Drones with ESP8266 and Arduino
- Adobe Edge Quickstart Guide