专题:Artificial Intelligence in Games

This cluster of papers focuses on the research and development of artificial intelligence techniques for games, including Monte Carlo Tree Search, procedural content generation, interactive storytelling, player modeling, real-time strategy games, computational creativity, behavior trees, general game playing, and level generation.
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WorldModelBench: Judging Video Generation Models As World Models

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GameFactorly: Creating New Games with Generative Interactive Videos

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Outplaying elite table tennis players with an autonomous robot

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Multi-task procedural content generation with reinforcement learning

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Can AI Do Strategy? A Dialogue and Debate

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How Well Can AI Do Strategy? Empirical Benchmarking Using Strategy Simulations

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Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

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Artificial intelligence in gamification: A systematic review

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Divergent creativity in humans and large language models

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Dynamic Difficulty Adjustment in Serious Games: A Literature Review

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