Bin Packing through Deep Reinforcement Learning with Attention

Project Description

This project implements aspects of the Attend2Pack algorithm, a deep reinforcement learning approach to solving bin packing problems. It uses attention mechanisms and policy gradient methods to learn efficient packing strategies.

Installation

Prerequisites

• Anaconda or Miniconda

Setup

1. Clone the repository
2. Create and activate the conda environment

conda env create -f environment.yml
conda activate rlbpp