16 citations · 18 across the 5 of their papers we have counts for
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cs.LG2019★ 16 cited
Synthetic Datasets for Neural Program Synthesis
Richard Shin, Neel Kant, Kavi Gupta +4
The goal of program synthesis is to automatically generate programs in a particular language from corresponding specifications, e.g. input-output behavior. Many current approaches…
cs.LG2019
Inferring the Optimal Policy using Markov Chain Monte Carlo
Brandon Trabucco, Albert Qu, Simon Li +1
This paper investigates methods for estimating the optimal stochastic control policy for a Markov Decision Process with unknown transition dynamics and an unknown reward function.…