- Deep Reinforcement Learning Hands-On
- Maxim Lapan
- 48字
- 2021-06-25 20:46:51
Chapter 2. OpenAI Gym
After talking so much about the theoretical concepts of RL, let's start doing something practical. In this chapter, we'll learn the basics of the OpenAI Gym API and write our first randomly behaving agent to make ourselves familiar with all the concepts.
推薦閱讀
- 輕松學(xué)C語(yǔ)言
- Design for the Future
- Julia 1.0 Programming
- Dreamweaver CS3網(wǎng)頁(yè)設(shè)計(jì)與網(wǎng)站建設(shè)詳解
- CSS全程指南
- 小型電動(dòng)機(jī)實(shí)用設(shè)計(jì)手冊(cè)
- 工業(yè)機(jī)器人操作與編程
- 數(shù)據(jù)通信與計(jì)算機(jī)網(wǎng)絡(luò)
- Kubernetes for Serverless Applications
- Enterprise PowerShell Scripting Bootcamp
- 分析力！專業(yè)Excel的制作與分析實(shí)用法則
- 教育機(jī)器人的風(fēng)口：全球發(fā)展現(xiàn)狀及趨勢(shì)
- Mastering Text Mining with R
- 嵌入式Linux系統(tǒng)實(shí)用開(kāi)發(fā)
- 機(jī)器學(xué)習(xí)案例分析（基于Python語(yǔ)言）