RL-playground

Tests with different RL approaches to solve some enviroments from OpenAI-gym.

1. Check python version:

python --version  

2. Download anaconda (check python 2 or 3 and select the appropriate Anaconda 2 or 3):

cd /tmp 

curl -O https://repo.anaconda.com/archive/AnacondaX-2019.03-Linux-x86_64.sh 

bash AnacondaX-2019.03-Linux-x86_64.sh 

3. Check installation:

 conda -h

4. Create and activate anaconda environment (“ML_env”) the environment should be created with Python 3.X as interpreter:

conda create --name ML_env python=3.X 

conda activate ML_env 

5. Install numpy

conda install -c anaconda numpy 

6. Install pandas

conda install -c anaconda pandas 

7. Install torch

conda install -c pytorch pytorch 

8. Install matplotlib

conda install -c conda-forge matplotlib 

9. Install paho-mqtt. Check docmuentation about MQTT here

conda install -c conda-forge paho-mqtt

For GPU 11. Check your device specs

nvidia-smi

12. Install the corresponding GPU drivers
13. Install tensorFlow

conda install -c anaconda tensorflow-gpu

14. (Optional) upgrade your cudatoolkit and cudnn if needed. For Nvidia SMI 470 and Cuda version 11.4:

conda install cudatoolkit=11.3.1 -c conda-forge
conda install -c conda-forge cudnn=8.2.*