WorldCompass: Better Interactive Video World Models скачать в хорошем качестве

WorldCompass: Better Interactive Video World Models

In this AI Research Roundup episode, Alex discusses the paper: 'WorldCompass: Reinforcement Learning for Long-Horizon World Models' WorldCompass is a new reinforcement learning framework designed to improve long-horizon, interactive video-based world models. It introduces a clip-level rollout strategy that evaluates multiple samples per target clip to boost efficiency and reward precision. The framework also uses complementary reward functions to balance interaction accuracy with visual quality while preventing reward-hacking. By employing a negative-aware fine-tuning strategy, the system significantly enhances the model capacity of existing world models like WorldPlay. These innovations lead to more consistent and realistic interactive video generation across various complex scenarios. Paper URL: https://arxiv.org/pdf/2602.09022 #AI #MachineLearning #DeepLearning #WorldModels #ReinforcementLearning #VideoGeneration #ComputerVision #InteractiveAI