Kenny Young

According to our database, Kenny Young authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Iterative Option Discovery for Planning, by Planning.

Kenny Young, Richard S. Sutton

CoRR, 2023

The Benefits of Model-Based Generalization in Reinforcement Learning.

Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the International Conference on Machine Learning, 2023

2022

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions.

Tian Tian, Kenny Young, Richard S. Sutton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Kenny Young

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Hindsight Network Credit Assignment.

Kenny Young

CoRR, 2020

Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning.

Kenny Young, Richard S. Sutton

CoRR, 2020

2019

Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment.

Kenny Young

CoRR, 2019

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

Kenny Young, Tian Tian

CoRR, 2019

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

Kenny Young, Baoxiang Wang, Matthew E. Taylor

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling.

Kenny J. Young, Richard S. Sutton, Shuo Yang

CoRR, 2018

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

Kenny Young, Baoxiang Wang, Matthew E. Taylor

CoRR, 2018

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

Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton

CoRR, 2018

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, Martha White, Richard S. Sutton

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2016

NeuroHex: A Deep Q-learning Hex Agent.

Kenny Young, Gautham Vasan, Ryan Hayward

Proceedings of the Computer Games - 5th Workshop on Computer Games, 2016

A Reverse Hex Solver.

Kenny Young, Ryan B. Hayward

Proceedings of the Computers and Games - 9th International Conference, 2016