research
∙
09/09/2022
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration
Algorithm selection wizards are effective and versatile tools that autom...
share
research
∙
09/17/2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
Interest in applying Artificial Intelligence (AI) techniques to compiler...
research
∙
08/10/2021
Asymptotic convergence rates for averaging strategies
Parallel black box optimization consists in estimating the optimum of a ...
research
∙
02/24/2021
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
In this paper, we use fully convolutional architectures in AlphaZero-lik...
research
∙
01/23/2021
Deep Learning for General Game Playing with Ludii and Polygames
Combinations of Monte-Carlo tree search and Deep Neural Networks, traine...
research
∙
10/08/2020
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
Existing studies in black-box optimization suffer from low generalizabil...
research
∙
09/28/2020
EvolGAN: Evolutionary Generative Adversarial Networks
We propose to use a quality estimator and evolutionary methods to search...
research
∙
09/25/2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Super-resolution aims at increasing the resolution and level of detail w...
research
∙
05/24/2020
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case
We study a test-based population size adaptation (TBPSA) method, inspire...
research
∙
04/29/2020
Versatile Black-Box Optimization
Choosing automatically the right algorithm using problem descriptors is ...
research
∙
04/24/2020
Variance Reduction for Better Sampling in Continuous Domains
Design of experiments, random search, initialization of population-based...
research
∙
04/24/2020
Proving μ>1
Choosing the right selection rate is a long standing issue in evolutiona...
research
∙
02/10/2020
Adversarial Attacks on Linear Contextual Bandits
Contextual bandit algorithms are applied in a wide range of domains, fro...
research
∙
01/27/2020
Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
research
∙
10/05/2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
We introduce a new black-box attack achieving state of the art performan...
research
∙
06/17/2019
Inspirational Adversarial Image Generation
The task of image generation started to receive some attention from arti...
research
∙
07/05/2018
Surprising strategies obtained by stochastic optimization in partially observable games
This paper studies the optimization of strategies in the context of poss...
research
∙
04/18/2018
Exact Distributed Training: Random Forest with Billions of Examples
We introduce an exact distributed algorithm to train Random Forest model...
research
∙
02/24/2018
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
This paper proposes an agent with particle swarm optimization (PSO) base...
research
∙
05/23/2017
Better Text Understanding Through Image-To-Text Transfer
Generic text embeddings are successfully used in a variety of tasks. How...
research
∙
07/27/2016
Automatically Reinforcing a Game AI
A recent research trend in Artificial Intelligence (AI) is the combinati...
research
∙
07/08/2016
Learning opening books in partially observable games: using random seeds in Phantom Go
Many artificial intelligences (AIs) are randomized. One can be lucky or ...
research
∙
06/06/2006
