4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.AI2017★ 4 cited
Unsupervised Basis Function Adaptation for Reinforcement Learning
Edward W. Barker, Charl J. Ras
When using reinforcement learning (RL) algorithms to evaluate a policy it is common, given a large state space, to introduce some form of approximation architecture for the value f…
cs.LG2017★ 1 cited
Unsupervised Basis Function Adaptation for Reinforcement Learning
Edward Barker, Charl Ras
When using reinforcement learning (RL) algorithms it is common, given a large state space, to introduce some form of approximation architecture for the value function (VF). The exa…