Learning Efficient Online 3D Bin Packing on Packing Configuration Trees

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Any code contribution is welcome! I am also looking for high-quality academic cooperation. If you are interested or have any problems, please contact me at [email protected].

We propose to enhance the practical applicability of online 3D-BPP via learning on a hierarchical packing configuration tree which makes the DRL model easy to deal with practical constraints and well-performing even with continuous solution space.

Paper

For more details, please see our paper Learning Efficient Online 3D Bin Packing on Packing Configuration Trees which has been accepted at ICLR 2022. If this code is useful for your work, please cite our paper: