A PPO agent with SAM and YOLOv5 perception in the AI2-THOR simulator improves object-interaction success, reward, and navigation efficiency over a raw-RGB baseline.
Learning dexterous in-hand manipulation,
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Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
A PPO agent with SAM and YOLOv5 perception in the AI2-THOR simulator improves object-interaction success, reward, and navigation efficiency over a raw-RGB baseline.