Carles Gelada

12 papers A* 4Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Conformal Transformations for Symmetric Power Transformers.
CoRR
Saurabh Kumar, Jacob Buckman, Carles Gelada, Sean Zhang
2025 J jnl
Scaling Context Requires Rethinking Attention.
CoRR
Carles Gelada, Jacob Buckman, Sean Zhang, Txus Bach
2021 A* conf
The Importance of Pessimism in Fixed-Dataset Policy Optimization.
ICLR
Jacob Buckman, Carles Gelada, Marc G. Bellemare
2020 A* conf
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
ICLR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2020 J jnl
The Importance of Pessimism in Fixed-Dataset Policy Optimization.
CoRR
Jacob Buckman, Carles Gelada, Marc G. Bellemare
2019 A* conf
DeepMDP: Learning Continuous Latent Space Models for Representation Learning.
ICML
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
2019 J jnl
DeepMDP: Learning Continuous Latent Space Models for Representation Learning.
CoRR
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
2019 J jnl
Hyperbolic Discounting and Learning over Multiple Horizons.
CoRR
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle
2019 J jnl
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
CoRR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2019 A* conf
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift.
AAAI
Carles Gelada, Marc G. Bellemare
2019 J jnl
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift.
CoRR
Carles Gelada, Marc G. Bellemare
2018 J jnl
Dopamine: A Research Framework for Deep Reinforcement Learning.
CoRR
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare