Deep Reinforcement Learning on Item-Compatibility Graphs for One-Dimensional Bin Packing
A novel end-to-end, size-agnostic graph reinforcement learning framework for 1D-BPP that outperforms a state-of-the-art learned solver that relies on column generation and integer programming, while using no solver at all.
M. Aydın
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