Reinforcement learning is a type of machine learning that is concerned with how software agents ought to take actions in an environment in order to maximize some notion of cumulative reward. The problem is formally described by the Markov decision process (MDP).RL algorithms are used in autonomous vehicles, robotics, fault detection, telecommunications, and many other…
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Building AI systems that can beat humans at complex games
Building AI systems that can beat humans at complex games is one of the most tantalizing and challenging problems in AI. It has been a challenge that has been pursued by AI researchers for decades and has been the focus of some of the most intense research efforts in AI. In general, AI systems that…