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Real-Time Search for Learning Autonomous Agents

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  • 148 pages
  • 6 hours of reading

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Exploring the dynamics of autonomous agents and multiagent systems, this book delves into how multiple computational agents interact and collaborate to achieve various tasks. It examines both scenarios where agents share common goals and situations where they pursue distinct objectives, highlighting the complexity and adaptability of these systems in computational environments.

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Real-Time Search for Learning Autonomous Agents, Toru Ishida

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Released
2013
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(Paperback)
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