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cs.AI2021
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
David Tolpin, Tomer Dobkin
It is well known that reinforcement learning can be cast as inference in an appropriate probabilistic model. However, this commonly involves introducing a distribution over agent t…
cs.LG2021
How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data
David Tolpin
We present a Bayesian approach to machine learning with probabilistic programs. In our approach, training on available data is implemented as inference on a hierarchical model. The…