Gaze-Guided Reinforcement Learning for Visual Search
Discover how gaze prediction from human eye-tracking enhances AI agents in object search tasks. By integrating visual attention into reinforcement learning through three novel methods, our approach enables faster, more effective navigation in simulated environments.
