Pedro Chumpitaz-Flores

SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes

Interpretable reinforcement learning policies are essential for high-stakes decision-making, yet optimizing decision tree policies in Markov Decision Processes (MDPs) remains challenging. We propose SPOT, a novel method for computing decision tree policies, which formulates the optimization problem…