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cs.LG2019
Before we can find a model, we must forget about perfection
Dimiter Dobrev
With Reinforcement Learning we assume that a model of the world does exist. We assume furthermore that the model in question is perfect (i.e. it describes the world completely and…
cs.LG2019
Event-Driven Models
Dimiter Dobrev
In Reinforcement Learning we look for meaning in the flow of input/output information. If we do not find meaning, the information flow is not more than noise to us. Before we are a…