Author

I. Frosio

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Preprint Aug 2026

Training a Conditioned Video Game Agent on a VLM Annotated Dataset

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 rewards for training (e.g. to collect rewards from the environment). Furthermore, the proper identification and weighting of the rewards gen...

Katrin Schmid, I. Frosio · 1 citation

#artificial intelligence Preprint Sep 2026

Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics

Per-action evaluation and failure analysis highlight ambiguities from camera motion, delayed effects and imbalanced key-press frequencies that call for explicit modeling of 3D scene structure, long-term state and the adoption of proper losses in future implementations.

Abhishek Pillai, Ekta Prashnani, Joohwan Kim et al. · 0 citations