Carles Gelada

Dopamine: A Research Framework for Deep Reinforcement Learning

Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada et al. · arXiv (Cornell University) · 2018 · 171 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin et al. · arXiv (Cornell University) · 2019 · 73 citations · Full text

Few-shot Learning, Engineering, Machine Learning +20

DeepMDP: Learning Continuous Latent Space Models for Representation Learning

Carles Gelada, Saurabh Kumar, Jacob Buckman et al. · arXiv (Cornell University) · 2019 · 67 citations · Full text

Artificial Intelligence, Latent Modeling, Engineering +13

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift

Carles Gelada, Marc G. Bellemare · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 60 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Hyperbolic Discounting and Learning over Multiple Horizons

William Fedus, Carles Gelada, Yoshua Bengio et al. · arXiv (Cornell University) · 2019 · 52 citations · Full text

Hyperbolic Discount Functions, Markov Decision Process, Cognitive Science +14