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 probability
Search options answers only
not deleted
user 36821
For question involving probability as related to AI methods. (This tag is for general usage. Feel free to utilize in conjunction with the "math" and more specific probability tags.)
0
votes
Accepted
In RL as probabilistic inference, why do we take a probability to be $\exp(r(s_t, a_t))$?
After doing some further reading, it turns out that negative rewards are an assumption for this distribution to hold. However, the author notes that as long as you don't receive a reward of infinity f …
- 5,030
3
votes
Accepted
How does $\mathbb{E}$ suddenly change to $\mathbb{E}_{\pi'}$ in this equation?
This is because in this instance $\pi '(s)$ is a deterministic policy, i.e. in state $s$ the policy will take action $b$ with probability 1 and all other actions with probability 0. …
- 5,030