The science behind
the stack.

Peer-reviewed research and academic whitepapers on AI-native game development, NPC cognition, and spatial inference.

All NPC Cognition Spatial Inference Hardware Systems Architecture

Featured Research

Flagship, peer-reviewed work shaping AI for games, NPCs, and procedural worlds.

Systems Architecture 2015 · IEEE TCIAIG

A Panorama of Artificial and Computational Intelligence in Games

G. N. Yannakakis, J. Togelius

High-level overview of ten core research areas in AI for games—from NPC behavior learning and player modeling to procedural content generation and general game AI—and how they interact to shape modern game AI systems.

Diagram illustrating key areas in AI for games

Latest Publications

Curated for AI-native games
Spatial Inference 2024 · AIIDE

Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration

M. Farrokhi Maleki, R. Zhao

Comprehensive survey of algorithms for procedural content generation in games—from search-based and machine learning methods to recent large language model approaches—with guidance on where each technique fits.

NPC Cognition 2025 · arXiv

A Survey on Large Language Model-Based Game Agents

S. Hu et al.

Up-to-date review of LLM-driven game agents, covering memory, reasoning, perception-action loops, and multi-agent coordination across major game genres.

Hardware 2019 · OpenAI

Dota 2 with Large Scale Deep Reinforcement Learning

OpenAI et al.

Describes the OpenAI Five system that reached world-champion level in Dota 2 using large-scale self-play and Proximal Policy Optimization across a massive distributed training setup.

Written by practitioners shipping real titles.

Our research team bridges academic theory and production reality.

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Dr. Alice Chen

Lead AI Researcher

[Cognitive Architectures]
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Jonathan Smith

Systems Director

[Compiler Engineering]
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Maya Patel

Senior Engineer

[Distributed Systems]