Trevor McInroe

Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning

Forgetting is Everywhere

Enhancing Tactile-based Reinforcement Learning for Robotic Control

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning

Objects matter: object-centric world models improve reinforcement learning in visually complex environments