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News/Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
arxiv
PublishedApril 24, 2026 at 4:00 AM
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Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2604.21896v1 Announce Type: new Abstract: This paper introduces a new paradigm for AI game programming, leveraging large language models (LLMs) to extend and operationalize Claude Shannon's taxonomy of game-playing machines. Central to this paradigm is Nemobot, an interactive agentic engineeri

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Mentioned models
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    Nemobot
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arxiv
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#game-playing#ai-agents#reinforcement-learning#self-programming

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Mentioned models
01
  • 01
    Nemobot
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#game-playing#ai-agents#reinforcement-learning#self-programming

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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