Combining model-based and instance-based learning for first order regression

Abstract

The introduction of relational reinforcement learning and the RRL algorithm gave rise to the development of several first order regression algorithms. So far, these algorithms have employed either a model-based approach or an instance-based approach. As a consequence, they suffer from the typical drawbacks of model-based learning such as coarse function… (More)
DOI: 10.1145/1102351.1102376

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