Carles Gelada

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Training Dataset

Top Venues

Publications

Jacob Buckman, Carles Gelada, Marc G. Bellemare
The Importance of Pessimism in Fixed-Dataset Policy Optimization. ICLR (2021)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR (2020)
Jacob Buckman, Carles Gelada, Marc G. Bellemare
The Importance of Pessimism in Fixed-Dataset Policy Optimization. CoRR (2020)
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle
Hyperbolic Discounting and Learning over Multiple Horizons. CoRR (2019)
Carles Gelada, Marc G. Bellemare
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. CoRR (2019)
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
DeepMDP: Learning Continuous Latent Space Models for Representation Learning. ICML (2019)
Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare
DeepMDP: Learning Continuous Latent Space Models for Representation Learning. CoRR (2019)
Carles Gelada, Marc G. Bellemare
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. AAAI (2019)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR (2019)
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare
Dopamine: A Research Framework for Deep Reinforcement Learning. CoRR (2018)