Vincent Francois-Lavet
8 papers · 2018–2023 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Reinforcement Learning
(7)
Methods
(6)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Core Methods
(2)
Optimization & Theory
(2)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
reinforcement learning
(5)
representation learning
(2)
multi-task learning
(1)
sample efficiency
(1)
uncertainty quantification
(1)
transfer learning
(1)
ensemble learning
(1)
episodic memory
(1)
causal discovery
(1)
reinforcement learning theory
(1)
anomaly detection
(1)
latent state space
(1)
information theoretic
(1)
value function
(1)
zero-shot learning
(1)
state representation
(1)
semantic memory
(1)
model-based reinforcement learning
(1)
value function approximation
(1)
causal inference
(1)
Papers
A Machine with Short-Term, Episodic, and Semantic Memory Systems
AAAI 2023
A Meta-Reinforcement Learning Algorithm for Causal Discovery
CLeaR 2023
Reinforcement Learning with Option Machines
IJCAI 2022
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
IJCAI 2020
Novelty Search in Representational Space for Sample Efficient Exploration
NeurIPS 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)
IJCAI 2020
Combined Reinforcement Learning via Abstract Representations
AAAI 2019
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
CoRL 2018