Vincent François-Lavet

Vrije Universiteit Amsterdam — Netherlands

Computer Science · Physical Sciences

12h-index2.3kcitations62works0.42yr avg
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Research Topics

Reinforcement Learning in Robotics(23), Domain Adaptation and Few-Shot Learning(14), Smart Grid Energy Management(11), Advanced Bandit Algorithms Research(7), Adversarial Robustness in Machine Learning(6)

Publications62 total

Leveraging weights signals -- Predicting and improving generalizability in reinforcement learning
ArXiv.org·2025Open Access
PhysiGym: bridging the gap between the Gymnasium reinforcement learning application interface and the PhysiCell agent-based model software
2025Open Access
Novel RL approach for efficient Elevator Group Control Systems
arXiv (Cornell University)·2025Open Access
Learning Abstract World Models with a Group-Structured Latent Space
arXiv (Cornell University)·2025Open Access
Analyzing Latent Entropy in Deep Q-Learning
2025Open Access
Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning
IFAC-PapersOnLine·2025Open Access
Learning Task-Aware Abstract Representations for Meta-Reinforcement Learning
VU Research Portal·2025Open Access
Temporal Knowledge-Graph Memory in a Partially Observable Environment
arXiv (Cornell University)·2024Open Access
Hadamard Representations: Augmenting Hyperbolic Tangents in RL
arXiv (Cornell University)·2024Open Access
Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data
International Journal of Medical Informatics·2024· 4 citedOpen Access
Disentangled (Un)Controllable Features
2023· 1 citedOpen Access
Guideline-informed reinforcement learning for mechanical ventilation in critical care
Artificial Intelligence in Medicine·2023· 8 citedOpen Access
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment
Critical Care Medicine·2023· 5 citedOpen Access
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 1 citedOpen Access
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
IEEE Transactions on Neural Networks and Learning Systems·2023· 73 citedOpen Access
Improving Generalization in Reinforcement Learning Through Forked Agents
Lecture notes in computer science·2023· 1 citedOpen Access
Comparative Performance of Intensive Care Mortality Prediction Models Based on Manually Curated Versus Automatically Extracted Electronic Health Record Data
SSRN Electronic Journal·2023Open Access
Improving generalization in reinforcement learning through forked agents
arXiv (Cornell University)·2022Open Access
A Machine with Short-Term, Episodic, and Semantic Memory Systems
arXiv (Cornell University)·2022Open Access
Disentangled (Un)Controllable Features
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Raphaël Fonteneau(11), Damien Ernst(10), Mark Hoogendoorn(10), Joëlle Pineau(9), Paul Elbers(7), Guillaume Rabusseau(5), Amjad Yousef Majid(4), Serge Saaybi(4), C.J.M. Verhoeven(4), Floris den Hengst(4), Shenyang Huang(4), Olivier Moulin(4), Peter Henderson(3), Frank van Harmelen(3), Martijn Otten(3), Tomas van Rietbergen(3), Taewoon Kim(3), Michael Cochez(3), Mark A. Neerincx(3), Piek Vossen(3)