mlsanityData to 14 Oct 2026

Games for Artificial Intelligence Research: A Review and Perspectives

arXiv 2304.13269 ↗First posted 26 Apr 2023cs.AIcited by 14

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Abstract (arXiv)

Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision making in dynamic and uncertain environments, game theory, planning and scheduling, design and education are common research areas shared between games and real-world problems. Numerous open-source games or game-based environments have been implemented for studying artificial intelligence. In addition to single- or multi-player, collaborative or adversarial games, there has also been growing interest in implementing platforms for creative design in recent years. Those platforms provide ideal benchmarks for exploring and comparing artificial intelligence ideas and techniques. This paper reviews the games and game-based platforms for artificial intelligence research, provides guidance on matching particular types of artificial intelligence with suitable games for testing and matching particular needs in games with suitable artificial intelligence techniques, discusses the research trend induced by the evolution of those games and platforms, and gives an outlook.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 97 of its 211 references that are in the map. First posted on arXiv 26 Apr 2023.

Builds on

97 of 211 references.

References · 97

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Citing papers per year: 2024: 6; 2025: 6; 2026: 2.

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  1. 2024Game Generation via Large Language Modelscited by 25
  2. 2024A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarioscited by 23
  3. 2024GPT for Games: An Updated Scoping Review (2020-2024)cited by 10
  4. 2025GVGAI-LLM: Evaluating Large Language Model Agents with Infinite Gamescited by 9
  5. 2025HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agentscited by 6
  6. 2025AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systemscited by 6
  7. 2024Measuring Diversity of Game Scenarioscited by 5
  8. 20243D Building Generation in Minecraft via Large Language Modelscited by 3
  9. 2025On the Performance of an Explainable Language Model on PubMedQAcited by 2
  10. 2025RASA: Replace Anyone, Say Anything -- A Training-Free Framework for Audio-Driven and Universal Portrait Video Editingcited by 1
  11. 2026Evolutionary Transfer Learning for Dragonchesscited by 1
  12. 2024Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Reportcited by 0
2 more
  1. 2025Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learningcited by 0
  2. 2026Temporal-Difference Learning for Dragonchesscited by 0