Tyler Kastner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Markov Decision Process

State Abstraction

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR (2024)
Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. NeurIPS (2023)
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes. CoRR (2023)
Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. CoRR (2023)
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes. Trans. Mach. Learn. Res. 2023 (2023)
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
MICo: Learning improved representations via sampling-based state similarity for Markov decision processes. CoRR (2021)
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
MICo: Improved representations via sampling-based state similarity for Markov decision processes. NeurIPS (2021)