MICo: Improved representations via sampling-based state similarity for Markov decision processes. - Pablo Samuel Castro; Tyler Kastner; Prakash Panangaden; Mark Rowland 001 (NeurIPS, 2021)

MICo: Learning improved representations via sampling-based state similarity for Markov decision processes. - Pablo Samuel Castro; Tyler Kastner; Prakash Panangaden; Mark Rowland 001 (CoRR, 2021)

Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. - Tyler Kastner; Murat A. Erdogdu; Amir-massoud Farahmand (NeurIPS, 2023)

A Kernel Perspective on Behavioural Metrics for Markov Decision Processes. - Pablo Samuel Castro; Tyler Kastner; Prakash Panangaden; Mark Rowland 001 (Trans. Mach. Learn. Res., 2023)

When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. - Claas Voelcker; Tyler Kastner; Igor Gilitschenski; Amir-massoud Farahmand (RLJ, 2024)