NitroGen: An Open Foundation Model for Generalist Gaming Agents
NitroGen: An Open Foundation Model for Generalist Gaming Agents [101.4] NitroGenは、ジェネラリストゲームエージェントのためのビジョンアクション基盤モデルである。 1000以上のゲームで4万時間のゲームプレイビデオでトレーニングされている。 論文参考訳（メタデータ） (Sun, 04 Jan 2026 16:24:50 GMT)
「: (1) Multi-game foundation agent (center) – a generalist vision-action model that takes in game observations and generates gamepad actions, enabling zero-shot gameplay across multiple titles and serving as a foundation for fine-tuning on new games; (2) Universal simulator (left) – an environment wrapper that allows any commercial game to be controlled through a Gymnasium API; and (3) Internet-scale dataset (right) – the largest and most diverse open-source gaming dataset curated from 40,000 hours of publicly available gaming videos, spanning more than 1,000 games with extracted action labels.」とゲームの基盤モデル