#game AI

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4 papers match

cs.AI2026

Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3

Jens Lehmann, Andrei Aioanei, Sahar Vahdati

The paper presents Tycho, a coding-agent that actively builds and uses programmatic world models to infer game rules and improve action efficiency in the ARC-AGI-3 benchmark, achie…

#active abstraction#world modeling#game AI#program synthesis

cs.AI2026

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models

Javier Aguilar MartÃn

The paper demonstrates that code world models synthesized by large language models can appear perfectly accurate on sampled transitions yet consistently lose when used for planning…

#code world models#planning#prediction accuracy#large language models

cs.CV2026

WanToFight: Real-Time Generative Game Engine for Multi-Player Combat Interaction

Li Hu, Guangyuan Wang, Peng Zhang +1

WanToFight is a generative game engine that uses a video diffusion transformer to produce real-time, two-player fighting game visuals from keyboard inputs, handling multi-player co…

#generative models#real-time inference#multi-player gaming#video diffusion

cs.AI2026

Comparative Analysis of GAT and BERT for Human-Like Playtesting

Kleio Fragkedaki, Theodoros Panagiotakopoulos, Matteo Biasielli +1

The paper compares transformer-based (BERT) and graph attention (GAT) models for predicting player behavior in Candy Crush Saga, showing they outperform CNN baselines on complex bo…

#playtesting#game AI#graph neural networks#transformers