42 citations · 42 across the 3 of their papers we have counts for
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cs.AI2018
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods
Craig Sherstan, Brendan Bennett, Kenny Young +4
This paper investigates estimating the variance of a temporal-difference learning agent's update target. Most reinforcement learning methods use an estimate of the value function,…
cs.AI2017
A Reverse Hex Solver
Kenny Young, Ryan B. Hayward
We present Solrex,an automated solver for the game of Reverse Hex.Reverse Hex, also known as Rex, or Misere Hex, is the variant of the game of Hex in which the player who joins her…
cs.AI2016
Neurohex: A Deep Q-learning Hex Agent
Kenny Young, Ryan Hayward, Gautham Vasan
DeepMind's recent spectacular success in using deep convolutional neural nets and machine learning to build superhuman level agents --- e.g. for Atari games via deep Q-learning and…