- Python Reinforcement Learning Projects
- Sean Saito Yang Wenzhuo Rajalingappaa Shanmugamani
- 135字
- 2021-07-23 19:05:00
Installing packages
Assuming you have a working Python installation, you can install all the required packages using the requirements.txt file found in our repository. We also recommend you create a virtualenv to isolate your development environment from your main OS system. The following steps will help you construct an environment and install the packages:
# Install virtualenv using pip
$ pip install virtualenv
# Create a virtualenv
$ virtualenv rl_projects
# Activate virtualenv
$ source rl_projects/bin/activate
# cd into the directory with our requirements.txt
(rl_projects) $ cd /path/to/requirements.txt
# pip install the required packages
(rl_projects) $ pip install -r requirements.txt
And now you are all set and ready to start! The next few sections of this chapter will introduce the field of reinforcement learning and will also provide a refresher on deep learning.
推薦閱讀
- 精通MATLAB神經(jīng)網(wǎng)絡(luò)
- 21天學通PHP
- 腦動力:C語言函數(shù)速查效率手冊
- RPA(機器人流程自動化)快速入門:基于Blue Prism
- 21天學通Visual C++
- 網(wǎng)絡(luò)化分布式系統(tǒng)預(yù)測控制
- 樂高機器人—槍械武器庫
- 運動控制系統(tǒng)應(yīng)用與實踐
- 云原生架構(gòu)進階實戰(zhàn)
- 工業(yè)機器人安裝與調(diào)試
- Excel 2007終極技巧金典
- Building Google Cloud Platform Solutions
- Hands-On Geospatial Analysis with R and QGIS
- 大數(shù)據(jù):從基礎(chǔ)理論到最佳實踐
- 工業(yè)機器人技術(shù)