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Hai-Hang Sun

2 accepted papers

2024

Leveraging Separated World Model for Exploration in Visually Distracted Environments

NeurIPS 2024poster

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…

Cited by 1SourcePDFScholar
2024

MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model

IJCAI 2024poster

Reinforcement learning from visual observations is a challenging problem with many real-world applications. Existing algorithms mostly rely on a single observation from a well-designed fixed camera that requires human knowledge. Recent studies learn from different viewpoints with multiple fixed came…

Cited by 0SourcePDFScholar