Kenny Young

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Variance Reduced Advantage Estimation with $\delta$ Hindsight Credit Assignment

Kenny Young, 2019 .

Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods pdf

Martha White, Richard S. Sutton, Adam White, 2018, ArXiv.

Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return

Martha White, Richard S. Sutton, Adam White, 2018, UAI.

Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control pdf

Matthew E. Taylor, Kenny Young, Baoxiang Wang, 2018, ArXiv.

A Reverse Hex Solver pdf

Ryan B. Hayward, Kenny Young, 2016, Computers and Games.

MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments pdf

Tian Tian, Kenny Young, Tian Tian, 2019, ArXiv.

Directly Estimating the Variance of the {\lambda}-Return Using Temporal-Difference Methods

Richard S. Sutton, Adam White, Craig Sherstan, 2018 .

Hindsight Network Credit Assignment pdf

Kenny Young, 2020, ArXiv.

Neurohex: A Deep Q-learning Hex Agent

Kenny Young, Gautham Vasan, Ryan Hayward, 2016, CGW@IJCAI.

Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment pdf

Kenny Young, 2019, ArXiv.

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Tian Tian, Kenny Young, Tian Tian, 2019 .

Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control

Matthew E. Taylor, Kenny Young, Baoxiang Wang, 2018, IJCAI.

Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units pdf

Kenny Young, 2021, ArXiv.