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Agents are autonomous objects that take decisions according to their internal state and/or environment state.
Depending on the external environment state, the decoder enables data transmission, importing, exporting or both.
An input function I determines how the agent views the environment state [49].
As a cognitive MIMO radar system has the ability of learning, the prior knowledge of the environment state can be obtained from previous measurements.
The state represented by an agent at each iteration of the Q-learning algorithm is actually an imperfect estimation of the environment state.
The environment state of the neighboring cell j can be written as text{ES}_{j}= (text{LR}_{1j}+text{LR}_{2j}+...+ text{LR}_{nj})/n, (3).
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External, which refers to environment states such as time, location, and temperature.
Denote by w = { w t } t ≥ t 0 the set of environment states at each time slot post t0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com