adhiiisetiawan/rl4db-tutorial-pricai-2023

Reinforcement Learning for Digital Business

Welcome to the "Reinforcement Learning for Digital Business" repository! This project provides simple implementations of reinforcement learning algorithms for online advertising and inventory management in a simulated environment. Follow the steps below to get started.

Getting Started

Step 1: Set up the Environment

1. Create a virtual environment using Conda:
   Note: This environment tested with python version 3.7, so if you need to reproduce this code without problem, please use same python version.

   conda create --name rl4db python=3.7

2. Activate the virtual environment:

   conda activate rl4db

Step 2: Install Requirements

Install the required Python packages by running:

pip install -r requirements.txt

Note: If you encounter the error AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline', reinstall opencv-python-headless using pip:

pip uninstall opencv-python-headless
pip install opencv-python-headless

Running the Examples

Explore the provided examples for reinforcement learning in online advertising and inventory management. Each example is located in its respective directory.