Topic: visually-guided foraging

Normative principles describe how to efficiently encode visual scenes, and supervised learning models show how formal tasks shape visual processing, yet animal vision ultimately adapts to encode survival-relevant features. To study how ecology constrains visual processing, we present a reinforcement learning (RL) framework in which an agent aims to survive in a 3-d environment that it perceives through a vision model. In particular, we consider a visually-guided foraging task: the environment is populated with randomly placed objects, and the agent must learn to identify those that increase or