3 papers
cs.AI2026
Training a Conditioned Video Game Agent on a VLM Annotated Dataset
Katrin Schmid, Iuri Frosio
Reinforcement Learning (RL) is a powerful but far from easy-to-use technique for policy learning. In the specific case of video games, access to the game engine is required to get…
cs.AI2026
VLMs for Videogame Data Annotation
Katrin Schmid, Iuri Frosio
Vision Language Models (VLMs) and Artificial Intelligence (AI) agents have revolutionized how engineers approach complex problems in real-world applications. Their adoption in vide…
cs.LG2024
Learning to Move Like Professional Counter-Strike Players
David Durst, Feng Xie, Vishnu Sarukkai +9
In multiplayer, first-person shooter games like Counter-Strike: Global Offensive (CS:GO), coordinated movement is a critical component of high-level strategic play. However, the co…