Wireless communication refers to the transmission of information over a distance without physical wires or cables, utilising electromagnetic waves, typically radio waves, to carry the data. This allows for the transfer of information like voice, text, pictures, and video without the need for physical connections. The development of wireless communication has profoundly impacted society, enabling instantaneous global connectivity and transforming various aspects of life and business. From the early days of wireless telegraphy to the cutting-edge 5G networks of today, each technological leap has brought new opportunities and challenges. As we look to the future, the continued evolution of wireless communication promises to drive further innovation and shape the digital landscape for years to come.
Due to its generality, reinforcement learning is studied in many disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, and statistics. In the operations research and control literature, reinforcement learning is called approximate dynamic programming, or neuro-dynamic programming. The problems of interest in reinforcement learning have also been studied in the theory of optimal control, which is concerned mostly with the existence and characterization of optimal solutions, and algorithms for their exact computation, and less with learning or approximation, particularly in the absence of a mathematical model of the environment.