AI for Games in the Foundation Model Era
cs.AI
Submitted: 2026-09-15
Updated: 2026-09-15
Comments: 120 pages, 27 figures, 21 tables. Project page: https://eurekaleo.github.io/awesome-ai-for-games
Code: https://github.com/Eurekaleo/awesome-ai-for-games
Project page: https://eurekaleo.github.io/awesome-ai-for-games
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Preference-conditioned Pixel-based AI Agent For Game Testing
- Deep Reinforcement Learning at the Edge of the Statistical Precipice
- AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)
- Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
- Diffusion for World Modeling: Visual Details Matter in Atari
- Project Sid: Many-agent simulations toward AI civilization
- ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
- Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction
- Generative Personas That Behave and Experience Like Humans
- Affectively Framework: Towards Human-like Affect-Based Agents
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Dota 2 with Large Scale Deep Reinforcement Learning
- Skill Issues: An Analysis of CS:GO Skill Rating Systems
- Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
- Deriving and Evaluating a Detailed Taxonomy of Game Bugs
- SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
- ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
- Mixture of Contexts for Long Video Generation
- MASS: Multiplayer World Models with Authoritative Shared State
- The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
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