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Reinforcement learning #1759
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Maybe I'm reading it wrong but this seems benchmarked on instances with 2-3 vehicles, 5-10 orders? |
Maybe, but state of the art in RL is around 50 cities pure TSP.
Not very useful.
Laurent Perron | Operations Research | lperron@google.com | (33) 1 42 68 53
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Le lun. 2 déc. 2019 à 13:26, CervEdin <notifications@github.com> a écrit :
… Maybe I'm reading it wrong but this seems benchmarked on instances with
2-3 vehicles, 5-10 orders?
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The largest VRP test in that Amazon team benchmark was 8 by 8 map, 5 orders |
There was also a 2018 paper comparing directly with OR-tools: |
I do not trust the results. Especially, I do not trust they used the best
parameters. And I know it does not scale.
As I said before, we may incorporate RL, but for now, it is not useful.
Laurent Perron | Operations Research | lperron@google.com | (33) 1 42 68 53
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Le lun. 2 déc. 2019 à 13:44, bhack <notifications@github.com> a écrit :
… There was also a 2018 paper comparing directly with OR-tools:
https://arxiv.org/abs/1802.04240v2
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Is there any plan to have RL?
Paper:
https://arxiv.org/abs/1911.10641
Benchmark:
https://github.com/awslabs/or-rl-benchmarks
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