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Kenny Young
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Minatar: An atari-inspired testbed for thorough and reproducible reinforcement learning experiments
K Young, T Tian
arXiv preprint arXiv:1903.03176, 2019
143*2019
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return.
C Sherstan, DR Ashley, B Bennett, K Young, A White, M White, RS Sutton
UAI, 63-72, 2018
36*2018
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
K Young, B Wang, ME Taylor
International Joint Conference on Artificial Intelligence, 4185--4191, 2019
34*2019
Neurohex: A deep q-learning hex agent
K Young, G Vasan, R Hayward
Workshop on Computer Games, 3-18, 2016
332016
The Benefits of Model-Based Generalization in Reinforcement Learning
K Young, A Ramesh, L Kirsch, J Schmidhuber
Proceedings of the 40th International Conference on Machine Learning, 40254 …, 2023
202023
Integrating episodic memory into a reinforcement learning agent using reservoir sampling
KJ Young, RS Sutton, S Yang
arXiv preprint arXiv:1806.00540, 2018
92018
Understanding the pathologies of approximate policy evaluation when combined with greedification in reinforcement learning
K Young, RS Sutton
arXiv preprint arXiv:2010.15268, 2020
82020
MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments.(2019)
K Young, T Tian
arXiv preprint arXiv:1903.03176, 2019
52019
Variance Reduced Advantage Estimation with Hindsight Credit Assignment
K Young
arXiv preprint arXiv:1911.08362, 2019
42019
A reverse Hex solver
K Young, RB Hayward
International Conference on Computers and Games, 137-148, 2016
42016
Hindsight network credit assignment: Efficient credit assignment in networks of discrete stochastic units
K Young
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8919-8926, 2022
32022
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions
T Tian, K Young, RS Sutton
Advances in Neural Information Processing Systems (NeurIPS), 2022
22022
MoHex wins Hex 11× 11 and 13× 13 tournament
RB Hayward, N Weninger, K Young, K Takada, T Zhang
ICGA J.(2017, To appear), 0
2
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
AA Ramesh, K Young, L Kirsch, J Schmidhuber
arXiv preprint arXiv:2405.03878, 2024
12024
Iterative Option Discovery for Planning, by Planning
K Young, RS Sutton
arXiv preprint arXiv:2310.01569, 2023
2023
Learning What to Remember with Online Policy Gradient Over a Reservoir
K Young, RS Sutton
MOHEX WINS 2016 HEX 11X11 AND 13X13 TOURNAMENTS
R Hayward, N Weninger, K Young, K Takada, T Zhang
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Articles 1–17