Kenny John Young

PhD student, University of Alberta

Joined

May 2017

Names

Kenny John Young

Kenny Young

Kenny J. Young

Emails

****@ualberta.ca (Confirmed)

Personal Links

DBLP

Career & Education History

PhD student

University of Alberta (ualberta.ca)

2019 – Present

MS student

University of Alberta (ualberta.ca)

2016 – 2018

Advisors, Relations & Conflicts

Coauthor

Matthew E. Taylor

2019 – Present

PhD Advisor

Richard S. Sutton

2018 – Present

Expertise

reinforcement learning

policy gradient

credit assignment

2015 – Present

Publications

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber
- ICML 2024 Poster
- Readers: Everyone
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- ICML 2023 Poster
- Readers: Everyone
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return
Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny John Young, Adam White, Martha White, Richard S. Sutton
- 30 Sept 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
Tian Tian, Kenny John Young, Richard S. Sutton
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment
Kenny John Young
- 21 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Hindsight Network Credit Assignment
Kenny Young
- 2020 (modified: 03 Nov 2022)
- CoRR 2020
- Readers: Everyone
Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning
Kenny Young, Richard S. Sutton
- 2020 (modified: 03 Nov 2022)
- CoRR 2020
- Readers: Everyone
MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments
Kenny Young, Tian Tian
- 2019 (modified: 03 Nov 2022)
- CoRR 2019
- Readers: Everyone

View all 15 publications

Kenny John Young

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors