Adjustable Robust Reinforcement Learning for Online 3D Bin Packing

Neural Information Processing Systems 

Designing effective policies for the online 3D bin packing problem (3D-BPP) has been a long-standing challenge, primarily due to the unpredictable nature of incoming box sequences and stringent physical constraints.

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