ML Anthology

Kastner, Tyler

4 publications

ICML 2025 Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A Erdogdu, Amir-Massoud Farahmand
TMLR 2023 A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
NeurIPS 2023 Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning Tyler Kastner, Murat A Erdogdu, Amir-massoud Farahmand
NeurIPS 2021 MICo: Improved Representations via Sampling-Based State Similarity for Markov Decision Processes Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland