EDEN is a reinforcement-learning navigation agent whose policy consumes a hand-built grid-cell-like code of position, plus a supervised encoder that predicts this code from camera and velocity inputs in MiniWorld and Gazebo.
Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software
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EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
EDEN is a reinforcement-learning navigation agent whose policy consumes a hand-built grid-cell-like code of position, plus a supervised encoder that predicts this code from camera and velocity inputs in MiniWorld and Gazebo.