Carles Gelada

According to our database, Carles Gelada authored at least 7 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

The Importance of Pessimism in Fixed-Dataset Policy Optimization.

Jacob Buckman, Carles Gelada, Marc G. Bellemare

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

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

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

CoRR, 2019

Hyperbolic Discounting and Learning over Multiple Horizons.

William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle

CoRR, 2019

DeepMDP: Learning Continuous Latent Space Models for Representation Learning.

Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare

Proceedings of the 36th International Conference on Machine Learning, 2019

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift.

Carles Gelada, Marc G. Bellemare

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dopamine: A Research Framework for Deep Reinforcement Learning.

Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare

CoRR, 2018