1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA
Carlos Celemin, Benedict Wilkins, Adrián Barahona-Ríos +2
In this work, we study the use of Vision-Language Models (VLMs) for anomaly detection in an agent-driven game Quality Assurance (QA) pipeline focusing on geometry clipping. In this…
cs.AI2025
Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
Carlos Celemin, Joseph Brennan, Pierluigi Vito Amadori +1
This paper introduces a novel application of Supervised Contrastive Learning (SupCon) to Imitation Learning (IL), with a focus on learning more effective state representations for…
cs.AI2025★ 1 cited
Bayesian Optimization-based Search for Agent Control in Automated Game Testing
Carlos Celemin
This work introduces an automated testing approach that employs agents controlling game characters to detect potential bugs within a game level. Harnessing the power of Bayesian Op…