AI Algorithm Path
AI Algorithm Path
May 18, 2025 · Artificial Intelligence

Reinforcement Learning Tutorial Part 1: Core Concepts Explained

This article introduces the fundamental concepts of reinforcement learning, covering the agent‑environment interaction, key terminology, reward structures, task types, policies, value functions, the Bellman equations, and how optimal strategies are derived and approximated in practice.

Bellman EquationMarkov Decision ProcessOptimal Policy
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Reinforcement Learning Tutorial Part 1: Core Concepts Explained