Carles Gelada
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Domain Adaptation and Few-Shot Learning, Advanced Bandit Algorithms Research, Machine Learning and Data Classification
Most-Cited Works
- → Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few\n Examples(2019)282 cited
- → Dopamine: A Research Framework for Deep Reinforcement Learning(2018)172 cited
- → DeepMDP: Learning Continuous Latent Space Models for Representation Learning(2019)67 cited
- → Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift(2019)61 cited
- → Hyperbolic Discounting and Learning over Multiple Horizons(2019)52 cited
- → The Importance of Pessimism in Fixed-Dataset Policy Optimization(2020)23 cited
- → Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate\n Shift(2019)1 cited