Kaichen Huang

Leveraging Separated World Model for Exploration in Visually Distracted Environments

Model-based unsupervised reinforcement learning (URL) has gained prominence for reducing environment interactions and learning general skills using intrinsic rewards. However, distractors in observations can severely affect intrinsic reward estimation, leading to a biased exploration process, especi…