Programmatic Policy Extraction by Iterative Local Search

Rasmus Larsen, Mikkel Nørgaard Schmidt

Reinforcement learning policies are often represented by neural networks, but programmatic policies are preferred in some cases because they are more interpretable, amenable to for…