SELF-IMPROVING GAME AGENTS: DESIGNING LEARNING SYSTEMS FOR COMPETITIVE AND COOPERATIVE PLAY
Self-Improving Game Agents explores the design of learning systems for game-playing agents. Focusing on both competitive and cooperative play, it introduces the broader concepts behind adaptive behavior and systems that can improve through learning.
About This Book
Self-Improving Game Agents examines the design of learning systems for agents that participate in games.
The book focuses on how agents can develop and refine behavior through learning, with attention to both competitive and cooperative play.
It offers a broad introduction to the ideas involved in creating adaptive game-playing systems.
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