Roland Dubb

Roland’s honours work explores the relationship between active inference and reinforcement learning. He’s researching how deep reinforcement learning can aid in the scaling of active inference agents. In the context of the exploration-exploitation dilemma, he’s also researching the mathematical origins of the active inference agent’s exploratory drive. Reinforcement learning, neuroscience applications, causality and general intelligence are among Roland’s research interests.

Honours papers: