27 citations · 29 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2008★ 27 cited
Rollout Sampling Approximate Policy Iteration
Christos Dimitrakakis, Michail G. Lagoudakis
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem…
cs.LG2007★ 2 cited
Cost-minimising strategies for data labelling : optimal stopping and active learning
Christos Dimitrakakis, Christian Savu-Krohn
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset …