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Understanding Reinforcement Learning Basics by nikithreddy1010.nr.nr is a document available to read on EtoBox.

What is Understanding Reinforcement Learning Basics about?

Reinforcement Learning (RL) is a feedback-based machine learning technique where an agent learns to make decisions by receiving rewards or penalties from its actions in an environment. The goal is to maximize cumulative rewards through methods like the Markov Decision Process and addressing the exploration vs exploitation dilemma. The document also discusses specific problems like the Multi-Armed Bandit and various strategies for action selection, including ε-greedy and Upper Confidence Bound methods.

Author

nikithreddy1010.nr.nr

Language

EN