Scholar
Vincent François-Lavet
Google Scholar ID: n12uNYcAAAAJ
VU Amsterdam
reinforcement learning
deep learning
representation learning
machine learning
artificial intelligence
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Citations & Impact
All-time
Citations
3,182
H-index
17
i10-index
24
Publications
20
Co-authors
29
list available
Publications
10 items
Learning When to Think: Adaptive Reasoning for Test-Time Compute Allocation
2026
Cited
0
Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability
2026
Cited
0
State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading
2026
Cited
0
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning
2026
Cited
0
Reinforcement Learning from Cross-domain Videos with Video Prediction Model
2026
Cited
0
Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
2026
Cited
0
Guiding Skill Discovery with Foundation Models
2025
Cited
0
Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning
2025
Cited
0
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Co-authors
15 total
Joelle Pineau
School of Computer Science, McGill University; FAIR, Meta AI; Mila
Peter Henderson
Princeton University
Damien Ernst
Professor of Electrical Engineering and Computer Science, ULiège
Marc G. Bellemare
Reliant AI
Riashat Islam
Microsoft Research NYC
Mark Hoogendoorn
Full Professor of Artificial Intelligence, Vrije Universiteit Amsterdam
Guillaume Rabusseau
Assistant Professor - Canada CIFAR AI Chair, Université de Montréal / Mila
Doina Precup
DeepMind and McGill University
