Marvin Bongiovi

Deep Reinforcement Learning algorithms learn important classes of repeated games optimally—Theoretical and empirical analysis

2026 · Franklin Open

This paper evaluates two prominent Deep Reinforcement Learning algorithms, Deep Q-Learning and Twin Delayed Deep Deterministic Policy Gradient, by comparing their learned policies against analytically derived optimal policies in specific game-theoretic models. We employ repeated, …