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K. Young

7 papers hereh-index 8313 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author4
  • middle author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI3
same name
  • K. Young — 36 papers, h 42
  • K. Young — 9 papers, h 28
  • K. Young — 9 papers, h 13
  • K. Young — 8 papers, h 18
  • K. Young — 7 papers
  • K. Young — 5 papers, h 37

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedMinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

42 citations · 42 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2020

Hindsight Network Credit Assignment

Kenny Young

We present Hindsight Network Credit Assignment (HNCA), a novel learning method for stochastic neural networks, which works by assigning credit to each neuron's stochastic output ba…

cs.LG2019

Variance Reduced Advantage Estimation with δ Hindsight Credit Assignment

Kenny Young

Hindsight Credit Assignment (HCA) refers to a recently proposed family of methods for producing more efficient credit assignment in reinforcement learning. These methods work by ex…

cs.LG2019★ 42 cited

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

Kenny Young, Tian Tian

The Arcade Learning Environment (ALE) is a popular platform for evaluating reinforcement learning agents. Much of the appeal comes from the fact that Atari games demonstrate aspect…

cs.LG2018

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

Kenny Young, Baoxiang Wang, Matthew E. Taylor

Reinforcement learning (RL) has had many successes in both "deep" and "shallow" settings. In both cases, significant hyperparameter tuning is often required to achieve good perform…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.