A Reverse Hex Solver. - Kenny Young; Ryan B. Hayward (Computers and Games, 2016)

NeuroHex: A Deep Q-learning Hex Agent. - Kenny Young; Gautham Vasan; Ryan Hayward (CGW@IJCAI, 2016)

Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. - Craig Sherstan; Dylan R. Ashley; Brendan Bennett; Kenny Young; Adam White 001; Martha White; Richard S. Sutton (UAI, 2018)

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. - Craig Sherstan; Brendan Bennett; Kenny Young; Dylan R. Ashley; Adam White 001; Martha White; Richard S. Sutton (CoRR, 2018)

Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control. - Kenny Young; Baoxiang Wang 001; Matthew E. Taylor (CoRR, 2018)

Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling. - Kenny J. Young; Richard S. Sutton; Shuo Yang (CoRR, 2018)

Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. - Kenny Young; Baoxiang Wang 001; Matthew E. Taylor (IJCAI, 2019)

MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments. - Kenny Young; Tian Tian (CoRR, 2019)

Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment. - Kenny Young (CoRR, 2019)

Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning. - Kenny Young; Richard S. Sutton (CoRR, 2020)

Hindsight Network Credit Assignment. - Kenny Young (CoRR, 2020)

Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units. - Kenny Young (AAAI, 2022)

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions. - Tian Tian; Kenny Young; Richard S. Sutton (NeurIPS, 2022)

The Benefits of Model-Based Generalization in Reinforcement Learning. - Kenny John Young; Aditya A. Ramesh; Louis Kirsch; Jürgen Schmidhuber (ICML, 2023)

Iterative Option Discovery for Planning, by Planning. - Kenny Young; Richard S. Sutton (CoRR, 2023)

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. - Aditya A. Ramesh; Kenny John Young; Louis Kirsch; Jürgen Schmidhuber (ICML, 2024)