Develops quotient-categorical representations that render the average-reward distributional Bellman operator well-defined, non-expansive, and convergent under i.i.d. and Markovian sampling.
Finite- sample analysis of contractive stochastic approximation using smooth convex envelopes.Ad- vances in Neural Information Processing Systems, 33:8223–8234
2 Pith papers cite this work. Polarity classification is still indexing.
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