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7 hours ago · I have a nonlinear constraint given as q(n)=1(b(n)+x(n)), both x and q are cvx variables. I need to model this in CVX to solve my problem. x, b and q are ...
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2 days ago · The continuous nature of energy storage device charge and discharge levels poses a challenge when employing discrete reinforcement learning techniques such as Q ...
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5 days ago · specifies a constraint on a subset of the variables ... 2 . If Q is positive definite we have Q. ∗. C|U ... constraint on the three variables in X corresponding to ...
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5 days ago · Triple-q: A model-free algorithm for constrained reinforcement learning with sublinear regret and zero constraint violation. In International Conference on ...
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6 days ago · an upper bound on path "energy" (e.g. ∫ | q ˙ ( t ) | 2 2 ),. and constraints that include: path derivative continuity (to arbitrary degree),; velocity ...
5 days ago · A simple interpretation of the KL divergence of P from Q is the expected excess surprise from using Q as a model instead of P when the actual distribution is P ...
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5 days ago · GoogleSQL for BigQuery supports conditional expressions. Conditional expressions impose constraints on the evaluation order of their inputs. In essence, they ...
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21 hours ago · The quantifier elimination pro- cess involves classical rules for unification and their dual through negation, elimination rules for universal variables which ...
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5 days ago · Q statistic on ... It is not required when there is no latent variable. diag.constraints ... Positive values indicate that males have higher scores than females do.
6 days ago · The following figure shows the private cost and social cost of producing Good X. Total social surplus ______. A. increases as the output falls below Q 2 units ...
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