Why Reinforcement Learning?
Reinforcement Learning allows the machine or software agent to learn its behaviour based on feedback from the environment. This behaviour can be learnt once and for all, or keep on adapting as time goes by. If the problem is modelled with care, some Reinforcement Learning algorithms can converge to the global optimum; this is the ideal behaviour that maximises the reward. This automated learning scheme implies that there is little need for a human expert who knows about the domain of application. Much less time will be spent designing a solution, since there is no need for hand-crafting complex sets of rules as with Expert Systems, and all that is required is someone familiar with Reinforcement Learning. Tell me more!
