Reinforcement learning is a type of machine learning that focuses on training an agent to take actions in an environment in order to maximize a reward signal. The goal of the agent is to learn a policy, which is a mapping from states to actions, that maximizes its expected cumulative reward over time. The RL […]
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Expert and Author in Applied Mathematics, Data Science, Statistics. Also writes History, Science, Culture.
