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The value of X k [s] is only perfectly known at time instances where pilots are transmitted.
These future-predicted control values can then be applied at time instances, where no packets are received.
The solution intersects with (I=mathit{RL}) infinitely many times, at time instances (t_{k}), (k=1,2,ldots) , and (t_{k}rightarrowinfty).
(a) The solution intersects with (I=mathit{RL}) infinitely many times, at time instances (t_{k}), (k=1,2,ldots) , and (t_{k}rightarrowinfty).
(a) Comparison of the octopus and STIFF-FLOP robot movements based on the initial learning from demonstration approach (before self-refinement) at time instances t=0.2, t=0.5 and t=1.
A reward function based on the Cartesian distance of the STIFF-FLOP end effector (x r ) and the octopus tip (x o ) is defined at time instances t=0.2, t=0.5, and t=1 as r = 1 3 ∑ t = 0.2, 0.5, 1 exp − δ | | x r ( t ) − x o ( t ) | |, where δ is a bandwidth coefficient set experimentally.
Similar(49)
where λ i n, is the average traffic rate at node n at time instance i, and λ i sink is the average traffic rate at the sink at time instance i.
For the DBN-TE to perform approximate inference there must exist a strong connection between the observed variable and the hidden variable at time instance k, and weak connections must exist between the observed variable at time instance k and hidden variables at other time instances.
The normalized value of traffic rate at a node, τ i, at time instance i, is measured as τ i = λ i n λ i sink, (5).
At time instance t, the delayed CSI available at the transmitter is denoted by H(t−τ d), where τ d denotes the delay.
The normalized measure of delay, η i, with respect to dhop, at time instance i, is calculated as follows: η i = d i d hop (3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com