Reinforcement Learning, Part 3: Monte Carlo Methods

From casinos to AI: unveiling the power of Monte Carlo methods in complex environments

Introduction

Reinforcement learning is a domain in machine learning that introduces the concept of an agent who must learn optimal strategies in complex environments. The agent learns from its actions that result in rewards given the environment’s state. Reinforcement learning is a difficult topic and differs significantly from other areas of machine learning. That is why it should only be used when a given problem cannot …

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