Update hyper params and set seeds

[splion-360]

Fixes #3080

Description

• This PR updates the hyper parameters for the CartPole-v1 environment in the DQN tutorial to better match the results shown in the reference image (only the tutorial file is modified).
• A fixed seed has been added to ensure reproducibility of training behavior and evaluation outcomes.

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes [Improve] - Pytorch Reinforcement DQN Tutorial #3080")
• Only one issue is addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3384

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 7f52575 with merge base 06f9c4b ():
💚 Looks good so far! There are no failures yet. 💚

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[sekyondaMeta]

@vmoens Mind taking a look at these changes

[vmoens]

LGTM
Before approving, do you have a learning curve to share before / after these changes?

[splion-360]

Hello @vmoens . I have attached the learning curves for the CartPole-v1 environment in the DQN tutorial. These plots are generated after confirming the behavior for 2 complete runs by fixing the seeds for reproducibility (as mentioned in the issued #3080).

Before fix

After fix

[malfet]

Just FYI, we already doing it in the CI, not sure if it's helpful to do something like that for all users...
May be add a paragraph saying to uncomment those if you want fixed output all the time

[vmoens]

I think it's good practice to have it being part of the script and I'd keep it here.
It helps when you run it locally - RL is very seed dependent usually