John Vastola

We propose methods for studying behavior and neural dynamics in deep RL agents based on neuroscience methods and demonstrate them in a naturalistic simulated foraging environment

We derive well-known learning rules from an objective that casts learning rules as policies for navigating uncertain loss landscapes