Kenny Young

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Credit Assignment

Markov Decision Chains

Reinforcement Learning

Policy Evaluation

Top Venues

Computers and Games

Publications

Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. CoRR (2024)
Kenny Young, Richard S. Sutton
Iterative Option Discovery for Planning, by Planning. CoRR (2023)
Kenny Young
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units. AAAI (2022)
Kenny Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
The Benefits of Model-Based Generalization in Reinforcement Learning. CoRR (2022)
Tian Tian, Kenny Young, Richard S. Sutton
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions. CoRR (2022)
Tian Tian, Kenny Young, Richard S. Sutton
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions. NeurIPS (2022)
Kenny Young
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units. CoRR (2021)
Kenny Young
Hindsight Network Credit Assignment. CoRR (2020)
Kenny Young, Richard S. Sutton
Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning. CoRR (2020)
Kenny Young
Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment. CoRR (2019)
Kenny Young, Tian Tian
MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments. CoRR (2019)
Kenny Young, Baoxiang Wang, Matthew E. Taylor
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control. IJCAI (2019)
Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods. CoRR (2018)
Kenny Young, Baoxiang Wang, Matthew E. Taylor
Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control. CoRR (2018)
Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, Richard S. Sutton
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. UAI (2018)
Kenny Young, Ryan B. Hayward
A Reverse Hex Solver. CoRR (2017)
Kenny Young, Ryan B. Hayward
A Reverse Hex Solver. Computers and Games (2016)
Kenny Young, Gautham Vasan, Ryan Hayward
NeuroHex: A Deep Q-learning Hex Agent. CGW@IJCAI (2016)
Kenny Young, Ryan Hayward, Gautham Vasan
Neurohex: A Deep Q-learning Hex Agent. CoRR (2016)