learning-tsp:论文“学习TSP需要重新思考泛化”的代码（arXiv预印本）资源-CSDN文库

共64个文件

py：31个

pt：10个

json：10个

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package

learning-tsp-master.zip （64个子文件）

folder

learning-tsp-master

.gitignore 172B

vizualizations_tensorboard.ipynb 12KB

folder

nets

folder

encoders

gat_encoder.py 7KB

__init__.py 0B

mlp_encoder.py 2KB

gnn_encoder.py 6KB

__init__.py 0B

critic_network.py 2KB

nar_model.py 10KB

attention_model.py 28KB

folder

problems

__init__.py 47B

folder

tsp

state_tsp.py 6KB

__init__.py 0B

tsp_gurobi.py 4KB

problem_tsp.py 8KB

run.py 12KB

folder

data

folder

tsp

generate_tsp.py 2KB

eval.py 10KB

LICENSE 1KB

finetune.py 16KB

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pretrained

results.ipynb 2.07MB

folder

tsp_200-200

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rl-ar-200-20pnn-gnn-max-ln-lowlr_20200428T092228

args.json 1KB

epoch-99.pt 11.62MB

folder

tspsl_20-50

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sl-ar-var-20pnn-gnn-max-bntrack_20200310T095509

args.json 1KB

epoch-9.pt 4.21MB

folder

sl-ar-var-full-gat_20200521T141137

args.json 1KB

epoch-9.pt 4.6MB

folder

sl-ar-var-full-mlp_20200306T182155

args.json 1KB

epoch-9.pt 1.91MB

folder

sl-ar-var-20pnn-gnn-max_20200308T172931

args.json 1KB

epoch-9.pt 4.2MB

folder

sl-ar-var-20pnn-gnn-sum_20200310T094801

args.json 1KB

epoch-9.pt 4.2MB

folder

sl-ar-var-20pnn-gnn-mean_20200310T094833

args.json 1KB

epoch-9.pt 4.2MB

folder

sl-ar-var-20pnn-gnn-max-ln_20200310T095955

args.json 1KB

epoch-9.pt 4.2MB

folder

tsp_20-50

folder

rl-ar-var-20pnn-gnn-max_20200313T002243

args.json 1KB

epoch-99.pt 6.66MB

folder

rl-ar-var-20pnn-gnn-max-critic_20200313T002323

args.json 1KB

epoch-99.pt 7.27MB

eval_baseline.py 18KB

options.py 8KB

folder

utils

functions.py 8KB

data_utils.py 1KB

__init__.py 24B

monkey_patch.py 3KB

nar_beam_search.py 5KB

log_utils.py 2KB

lexsort.py 2KB

beam_search.py 8KB

boolmask.py 3KB

tensor_functions.py 2KB

folder

scripts

train-rl-ar.sh 2KB

train-sl-nar.sh 1KB

finetune.sh 836B

train-sl-ar.sh 1KB

eval.sh 625B

README.md 8KB

reinforce_baselines.py 8KB

folder

img

pipeline.png 307KB

computation.png 619KB

vizualizations_heatmaps.ipynb 6.2MB

train.py 10KB

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