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alexfrom0815 / Online-3D-BPP-PCT

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.

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The pretrained models run had no effect

beiguagua opened this issue · comments

commented

When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01

python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt

Evaluation using 100 episodes
Mean ratio 0.01000, mean length0.01000
commented

When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01

python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt

Evaluation using 100 episodes
Mean ratio 0.01000, mean length0.01000

I have the same problem. Have you resolved it?

commented

When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01

python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt

Evaluation using 100 episodes
Mean ratio 0.01000, mean length0.01000

I have the same problem. Have you resolved it?

Change container_size=[1,1,1] to container_size=[10,10,10] in the file givenData. py

commented

When I downloaded the pre-trained model and data set and evaluated it using the code below, the average ratio was just 0.01

python evaluation.py --evaluate --load-model --model-path models/setting2_discrete.pt --load-dataset --dataset-path datasets/setting123_discrete.pt

Evaluation using 100 episodes
Mean ratio 0.01000, mean length0.01000

I have the same problem. Have you resolved it?

Change container_size=[1,1,1] to container_size=[10,10,10] in the file givenData. py

It works. Thank you very much!