Kenny Young - RankMe

19 papers A* 3A 1Journal 13Unranked 2

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