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cs.LG2021
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
Anthony Courchesne, Andrea Censi, Liam Paull
In many situations it is either impossible or impractical to develop and evaluate agents entirely on the target domain on which they will be deployed. This is particularly true in…
cs.LG2019
Quantifying the effect of representations on task complexity
Julian Zilly, Lorenz Hetzel, Andrea Censi +1
We examine the influence of input data representations on learning complexity. For learning, we posit that each model implicitly uses a candidate model distribution for unexplained…