no code implementations • 29 Sep 2021 • Giuseppe Cuccu, Luca Sven Rolshoven, Fabien Vorpe, Philippe Cudre-Mauroux, Tobias Glasmachers
We present a novel framework for Distributing Black-Box Optimization (DiBB).
1 code implementation • 16 Apr 2020 • Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
We propose a novel method for analyzing and visualizing the complexity of standard reinforcement learning (RL) benchmarks based on score distributions.
1 code implementation • 4 Jun 2018 • Giuseppe Cuccu, Julian Togelius, Philippe Cudre-Mauroux
Deep reinforcement learning, applied to vision-based problems like Atari games, maps pixels directly to actions; internally, the deep neural network bears the responsibility of both extracting useful information and making decisions based on it.
Ranked #21 on Atari Games on Atari 2600 Phoenix