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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Reinforcement learning
Reinforcement learning is a subfield of machine learning that deals with how software agents ought to take actions in an environment to maximize some notion of cumulative reward. Reinforcement learning algorithms have been applied successfully to problems like checkers, backgammon, and other board games, to bicycle balancing, networked control systems, robot motion planning, and protein…