Tyler Kastner

PhD student, Department of Computer Science, University of Toronto

Joined

April 2021

Names

Tyler Kastner (Preferred)

Emails

****@mail.mcgill.ca (Confirmed)

,

****@cs.toronto.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Department of Computer Science, University of Toronto (cs.toronto.edu)

2022 – 2026

MS student

McGill University (mcgill.ca)

2021 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Amir-massoud Farahmand

2022 – 2026

PhD Advisor

2022 – 2026

Coauthor

Prakash Panangaden

2020 – 2022

Expertise

No areas of expertise listed

Publications

Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A Erdogdu, Amir-massoud Farahmand
- ICML 2025 poster
- Readers: Everyone
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning
Claas A Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
- RLC 2024
- Readers: Everyone
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
Tyler Kastner, Murat A Erdogdu, Amir-massoud Farahmand
- NeurIPS 2023 poster
- Readers: Everyone
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
- Accepted by TMLR
- Readers: Everyone
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland
- 2021 (modified: 14 Apr 2023)
- NeurIPS 2021
- Readers: Everyone

Co-Authors