Carles Gelada

Computer Science · Physical Sciences

8h-index778citations12works0.02yr avg
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Research Topics

Reinforcement Learning in Robotics(6), Domain Adaptation and Few-Shot Learning(3), Topic Modeling(2), Advanced Bandit Algorithms Research(2), Machine Learning and Data Classification(2)

Publications12 total

Scaling Context Requires Rethinking Attention
ArXiv.org·2025Open Access
Conformal Transformations for Symmetric Power Transformers
arXiv (Cornell University)·2025Open Access
The Importance of Pessimism in Fixed-Dataset Policy Optimization
arXiv (Cornell University)·2020· 23 citedOpen Access
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 60 citedOpen Access
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
arXiv (Cornell University)·2019· 67 citedOpen Access
DeepMDP: Learning Continuous Latent Space Models for Representation\n Learning
arXiv (Cornell University)·2019· 43 citedOpen Access
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
arXiv (Cornell University)·2019· 73 citedOpen Access
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few\n Examples
arXiv (Cornell University)·2019· 282 citedOpen Access
Hyperbolic Discounting and Learning over Multiple Horizons
arXiv (Cornell University)·2019· 52 citedOpen Access
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate\n Shift
arXiv (Cornell University)·2019· 1 citedOpen Access
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
arXiv (Cornell University)·2019· 6 citedOpen Access
Dopamine: A Research Framework for Deep Reinforcement Learning
arXiv (Cornell University)·2018· 171 citedOpen Access

Frequent Co-authors

Marc G. Bellemare(8), Jacob Buckman(5), Hugo Larochelle(3), Saurabh Kumar(3), Eleni Triantafillou(2), Tyler Zhu(2), Vincent Dumoulin(2), Pascal Lamblin(2), Utku Evci(2), Kelvin Xu(2), Ross Goroshin(2), Kevin Swersky(2), Pierre-Antoine Manzagol(2), Ofir Nachum(2), Sean X. Zhang(2), Pablo Samuel Castro(1), Subhodeep Moitra(1), William Fedus(1), Yoshua Bengio(1), Saurabh Kumar(1)