20 citations · 35 across the 9 of their papers we have counts for
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cs.LG2020
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime Distribution Predictions
Jake Tuero, Michael Buro
Randomized algorithms are used in many state-of-the-art solvers for constraint satisfaction problems (CSP) and Boolean satisfiability (SAT) problems. For many of these problems, th…
cs.LG2020★ 1 cited
Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search
Arta Seify, Michael Buro
The combination of Monte-Carlo Tree Search (MCTS) and deep reinforcement learning is state-of-the-art in two-player perfect-information games. In this paper, we describe a search a…