- Reinforcement Learning with TensorFlow
- Sayon Dutta
- 107字
- 2021-08-27 18:51:57
Optimality criteria
The optimality criteria are a measure of goodness of fit of the model created over the data. For example, in supervised classification learning algorithms, we have maximum likelihood as the optimality criteria. Thus, on the basis of the problem statement and objective optimality criteria differs. In reinforcement learning, our major goal is to maximize the future rewards. Therefore, we have two different optimality criteria, which are:
- Value function: To quantify a state on the basis of future probable rewards
- Policy: To guide an agent on what action to take in a given state
We will discuss both of them in detail in the coming topics.
推薦閱讀
- 過程控制工程及仿真
- 網頁編程技術
- Hands-On Cloud Solutions with Azure
- Windows XP中文版應用基礎
- Photoshop CS3特效處理融會貫通
- Docker High Performance(Second Edition)
- Linux服務與安全管理
- Lightning Fast Animation in Element 3D
- Hands-On Reactive Programming with Reactor
- R Data Analysis Projects
- 基于ARM9的小型機器人制作
- Dreamweaver+Photoshop+Flash+Fireworks網站建設與網頁設計完全實用
- TensorFlow Deep Learning Projects
- 智慧未來
- 計算機應用基礎實訓·職業模塊