[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
3dbin packer where the bin size is unknown/undefined. Given a set of items the algorithm will try to give the smallest single bin to fit all items.
A production-grade Deep Reinforcement Learning project solving the 3D Bin Packing Problem. It features DQN and PPO agents, a custom Gym environment, MLOps integration with MLflow and DVC, and a FastAPI service for inference.
Proyecto para solucionar el problema de bin packing, para cajas de distintas dimensiones y contenedores distintos, con restricciones de cantidad y opcionalidad
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