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Understanding the Principles of Reinforcement Learning in Game AI

Introduction In recent years, the field of artificial intelligence (AI) has witnessed remarkable advancements, particularly in the area of game playing. Reinforcement learning, a subfield of AI, has emerged as a powerful technique for training agents to perform complex tasks, such as playing games, by learning from their interactions with the environment. This article aims to explore the principles of reinforcement learning in the context of game AI, highlighting both the new trends and the classics of computation and algorithms in this domain.