Carles Gelada
4 papers · 2019–2021 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Pioneer
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Research topics
Keywords
policy optimization
(2)
representation learning
(1)
few-shot learning
(1)
transfer learning
(1)
covariate shift
(1)
discount factor
(1)
value function
(1)
state representation
(1)
model-based reinforcement learning
(1)
reward prediction
(1)
off-policy learning
(1)
regret bound
(1)
latent space
(1)
value overestimation
(1)
deep rl
(1)
auxiliary task
(1)
dataset benchmark
(1)
contraction mapping
(1)
worst-case guarantee
(1)
latent space model
(1)
Papers
The Importance of Pessimism in Fixed-Dataset Policy Optimization
ICLR 2021
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
ICLR 2020
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
ICML 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
AAAI 2019