Mark Rowland

Capturing Individual Human Preferences with Reward Features

Plasticity as the Mirror of Empowerment

Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics

Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

A Distributional Analogue to the Successor Representation

Distributional Bellman Operators over Mean Embeddings

Foundations of Multivariate Distributional Reinforcement Learning