Charline Le Lan
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Grand Slam
Top co-authors
Research topics
Keywords
representation learning
(4)
neural network
(2)
reinforcement learning
(2)
state representation
(2)
stochastic gradient descent
(1)
temporal difference learning
(1)
dimensionality reduction
(1)
variational autoencoder
(1)
markov decision process
(1)
nash equilibrium
(1)
hierarchical representation
(1)
generalization error
(1)
matrix factorization
(1)
off-policy learning
(1)
generative model
(1)
spectral decomposition
(1)
latent representation
(1)
principal subspace
(1)
policy evaluation
(1)
deep reinforcement learning
(1)
Papers
Human Alignment of Large Language Models through Online Preference Optimisation
ICML 2024
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
AISTATS 2023
Bootstrapped Representations in Reinforcement Learning
ICML 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
ICLR 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
LieTransformer: Equivariant Self-Attention for Lie Groups
ICML 2021
Metrics and Continuity in Reinforcement Learning
AAAI 2021
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
NeurIPS 2019