As the complexity of finding the optimal policy by LP increases exponentially with the size of action space and state space, we further apply action set reduction and state aggregation to reduce the complexity without loss of optimality.
In both centralized and decentralized cases, the complexity of finding optimal policy increases exponentially with the size of action space and state space, which incurs the so-called curse of dimensionality.
We point out that in both the centralized and decentralized cases, the complexity of finding optimal policy increases exponentially with the size of action space and state space, which incurs so-called curse of dimensionality.
The MUA that was recorded in the curve-tracing task provides an instantaneous measure of the number and the size of action potentials of neurons in the vicinity of the electrode tip (Super and Roelfsema 2005).
The size of response actions taken by countries varied in scale.
Because nerve impulses are not graded in amplitude, it is not the size of the action potential that is important in processing information within the nervous system; rather, it is the number and frequency with which the impulses are fired.
The statistical performances of the proposed algorithms are illustrated in the following two figures and compared with the MDP-based algorithm with different number of battery levels, denoted as z, which determines the size of the action space.
As was mentioned previously, the same signal is inserted into each controller to limit the size of the action space, which would otherwise grow exponentially with the number of controllers.
Since in FFQ, the SBSs take the learning process to estimate the Q values of jamming for each MUE, the size of the action set for a certain player i is M+1, including stand alone and actively jam for some MUE.
It does exactly what it says, shrinking your enemies down to the size of an action figure.
