Online-3D-BPP-DRL

Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.

Packing irregular objects with deep reinforcement learning.

[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning

Online 2D Bin Packing Problem Based on Deep Reinforcement Learning with Transformer and PPO