Comments (4)
Iamfxz
commented on June 15, 2024
more training time:
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ingambe
commented on June 15, 2024
Hi, thanks for trying to reproduce :)
As we are training from scratch the neural network and setting a timeout of 10 minutes, the results of the approach will depend on the hardware it is run on.
It looks like you are using a CPU-only platform. Using a GPU is much faster. Also, the more core the machine has, the better/faster.
To give you an example of a recent run, I was able to reproduce using a different machine with an NVIDIA RTX A5000 and an AMD epyc CPU with 96 cores.
As you can see from the W&B logging platform, we manage good results for ta60 in 10 minutes: https://wandb.ai/ingambe/RL-Job-Shop-Scheduling-JSS/runs/1gq3knc0/overview
If your machine is less powerful, you might have to run longers/with more environments per worker.
What is your configuration?
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WayneHsiao0225
commented on June 15, 2024
Does the "step" on the y-axis means the "episode"?
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ingambe
commented on June 15, 2024
No, it refers to the number of training iterations
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Related Issues (20)
- NotADirectoryError raised in main.py HOT 1
- Issues of FIFO and MTWR worker HOT 2
- An error when I try to run it HOT 7
- Save model and train on multiple instances HOT 2
- How to generate the Gantt Chart with GIFs format? HOT 1
- Python-Version? HOT 2
- How to modify main.py to output solution schedule? HOT 4
- About instance specifications HOT 2
- Running of Code to create GIF HOT 2
- Failed to run the code: JSSEnv not found HOT 3
- RuntimeError: Couldn't start Redis. Check log files HOT 2
- Adding variable set-up time
- where to find the solution results？ HOT 5
- Specification of the solution HOT 9
- can't find environment HOT 2
- Is the code working? HOT 5
- [WinError 267] The directory name is invalid HOT 2
- Can I use debug to see the action?
- Not an Issue, just some clarification regarding inputs HOT 1
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