69 citations · 452 across the 35 of their papers we have counts for
4 papers · 1 filter
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
Chris Cummins, Bram Wasti, Jiadong Guo +9
Interest in applying Artificial Intelligence (AI) techniques to compiler optimizations is increasing rapidly, but compiler research has a high entry barrier. Unlike in other domain…
Asymptotic convergence rates for averaging strategies
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre +1
Parallel black box optimization consists in estimating the optimum of a function using parallel evaluations of . Averaging the best individuals among the evaluations…
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
Dennis J. N. J. Soemers, Vegard Mella, Eric Piette +3
In this paper, we use fully convolutional architectures in AlphaZero-like self-play training setups to facilitate transfer between variants of board games as well as distinct games…
Deep Learning for General Game Playing with Ludii and Polygames
Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne +1
Combinations of Monte-Carlo tree search and Deep Neural Networks, trained through self-play, have produced state-of-the-art results for automated game-playing in many board games.…