We’re rewarding the question askers & reputations are being recalculated! Read more.
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
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
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 Search options answers only user 12053

For questions related to learning controlled by external positive reinforcement or negative feedback signal or both, where learning and use of what has been thus far learned occur concurrently.

3
votes
Would it be helpful to use a LSTM and reduce the input state? I'd bet, no. LSTM is more complicated and harder to learn, while the input is 4 * 9 * 36 bits is still rather limited. However, you …
answered Apr 2 '18 by maaartinus
5
votes
IMHO the idea of invalid moves is itself invalid. Imagine placing an "X" at coordinates (9, 9). You could consider it to be an invalid move and give it a negative reward. Absurd? Sure! But in fact yo …
answered Jan 12 '18 by maaartinus
0
votes
With images, you can use CNN because of the translational invariance. A filter which is good in one area will probably be good in another area, too. With images, you must use CNN because otherwise, t …
answered Mar 25 '18 by maaartinus