Don Reba

Spain

Age: 31

Representative of the Holy Order in the Arkanarian Province. Bishop and Councilor of War, servant of Our Lord!

http://careers.stackoverflow.com/alexey-badalov

Jan
20
answered How could I find the radius of the part of a circle? Opencv
Jan
10
comment Why are the quarks so named?
Gell-Mann's 1964 paper proposing 3 quarks that combined to form baryons and mesons already calls them "u, d, and s", but without giving them names.
Jan
9
comment Missing pixels when rotating an object
There is no dstCoords in this code that does not get any value.
Jan
9
comment Missing pixels when rotating an object
Target image is equally vexing. If it is the image after the transformation, then the statement that a target pixel does not get any value does not make sense.
Jan
9
comment Missing pixels when rotating an object
Um. What's a target pixel in your explanation?
Jan
8
comment Missing pixels when rotating an object
All matrices transfer from one basis to another. It's what they do. Rotation matrices are the ones that transfer from orthonormal bases.
Dec
27
awarded Yearling
Dec
27
awarded Yearling
Dec
15
comment Meaning of 'compute' in the following statement
The feature space is a finite approximation of the state space, which could be infinite.
Dec
15
answered Meaning of 'compute' in the following statement
Dec
13
comment Do I have to use pointer semantics after returning a non-copy-able?
Or do void Configure_Foo(Foo & f).
Dec
12
comment Finding the maximum difference between numbers
From the linked answer: "If there's a single compiler for which it actually doesn't work, nobody in any of the arguments has been able to find or cite it." It's pedantry.
Dec
11
comment Q learning vs Temporal Difference vs Model based reinforced learning
You need the action-value function in order to form a policy. You can learn it directly or you can retrieve it from the state-value function if you know the state transition probability function.
Dec
10
answered relationship between the Q value and the reward function in reinforcement learning
Dec
10
comment Q learning vs Temporal Difference vs Model based reinforced learning
V is the state value function, Q is the action value function, and Q-learning is a specific off-policy temporal-difference learning algorithm. You can learn either Q or V using different TD or non-TD methods, both of which could be model-based or not.
Dec
9
comment Q learning vs Temporal Difference vs Model based reinforced learning
Q-learning is a temporal difference algorithm.
Dec
6
revised Reinforcement learning: Differences between QLearning and SarsaTD?
removed a flawed example
Dec
6
revised Does there exist a way to do small fixed range multiplication efficiently?
added 86 characters in body
Dec
6
revised Does there exist a way to do small fixed range multiplication efficiently?
added 176 characters in body
Dec
6
revised Does there exist a way to do small fixed range multiplication efficiently?
added 21 characters in body
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