Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with performance
Search options not deleted
user 55013
For question about methods of evaluating the performance (e.g. the accuracy) of an artificial intelligence algorithm or model.
1
vote
Accepted
Why does mean episode reward during training differ dramatically from "manual" runs of the t...
I have found the issue.
Essentially, what appears to be happening is when I do my (only) 10 manual runs, I happen to get a bad sample of starting points.
During training, for each episode, I randomly …
- 362
1
vote
1
answer
916
views
Why does mean episode reward during training differ dramatically from "manual" runs of the t...
So, then, my expectation is that when I take this trained model and run it on an environment consisting of the same data it was trained on, it should have a performance somewhere around 0.4 reward on average …
- 362