278 citations · 593 across the 24 of their papers we have counts for
4 papers · 1 filter
SaLinA: Sequential Learning of Agents
Ludovic Denoyer, Alfredo de la Fuente, Song Duong +3
SaLinA is a simple library that makes implementing complex sequential learning models easy, including reinforcement learning algorithms. It is built as an extension of PyTorch: alg…
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier +2
Learning meaningful behaviors in the absence of reward is a difficult problem in reinforcement learning. A desirable and challenging unsupervised objective is to learn a set of div…
Learning a subspace of policies for online adaptation in Reinforcement Learning
Jean-Baptiste Gaya, Laure Soulier, Ludovic Denoyer
Deep Reinforcement Learning (RL) is mainly studied in a setting where the training and the testing environments are similar. But in many practical applications, these environments…
On Anytime Learning at Macroscale
Lucas Caccia, Jing Xu, Myle Ott +2
In many practical applications of machine learning data arrives sequentially over time in large chunks. Practitioners have then to decide how to allocate their computational budget…