Questions tagged [decision-theory]
For various clarifications/proofs behind an Artificially Intelligent agent's reasoning process using Decision Theory.
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How to prove that an action-value function optimal for one problem formulation is also optimal for another?
I want to ask about the intuition/where-to-look/what-to-try if I want to prove that an action value function optimal for a problem is also optimal for another reformulation of that smae problem. For ...
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Can you correlate decision boundary of final layer of a neural network to predictive distribution?
I was reading in a On the Decision Boundary of Deep Neural Networks
that the final layer of a MLP can be equated to an SVM and can generate decision boundaries similar to methods with SVM. I was ...
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What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models' principles be applied to AI?
What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models’ principles and insights be applied to the field of Artificial Intelligence, e.g. ...
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Condition Action Statement - Feed Forward Neural Network
I am trying to produce Decision Tree from Feed Forward Neural Network .
The input to the feed forward neural network is Condition Action Statement
for example, if airthrusthold > 90 , power up the ...
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Optimal decision with continuous, stochastic signals and rewards
I am performing a task, where I have to decide which projects to pursue at a given point in time, where the projects have different horizons of 30 minutes.
At a given point in time, forecasts are made ...
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Do Bernoulli bandits need a different treatment if the rewards are sparse?
I have a problem where, effectively, my slot machines have very low payout probability (on the order of 1% for the "best" slot machines) and my goal is to minimize the number of actions to ...