Are there any reference papers where it is used a KMeans-like algorithm in state space quantization in Reinforcement Learning instead of range buckets?
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There is this paper Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients, presented in the Machine Learning for Health Workshop in NIPS 2017. Here is a quote from the paper where the authors describe the clustering approach:
After we generated the state representation, we used the k-means clustering algorithm to categorize millions of patient states into 500 clusters such that similar clinical states can collapse into the same cluster.
