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What is Fundamentals of Reinforcement Learning about?

Reinforcement Learning (RL) is a machine learning paradigm where an agent learns to make decisions through trial and error to maximize cumulative rewards by interacting with an environment. Key concepts include the agent, environment, states, actions, policies, rewards, and value functions, with various algorithms like Q-learning and deep Q-networks being commonly used. RL has applications in robotics, gaming, finance, and healthcare, while its development is influenced by fields such as psychology, neurosc

Author

nharipriya69

Language

EN