Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate

Simo Alami C., Rim Kaddah, Jesse Read +1

Distributional Reinforcement Learning (DistRL) improves upon expectation-based methods by modeling full return distributions, but standard approaches often remain far from parsimon…