The Hierarchical Adaptive Forgetting Variational Filter. - Vincent Moens (ICML, 2018)

Learning and forgetting using reinforced Bayesian change detection. - Vincent Moens; Alexandre Zenon (PLoS Comput. Biol., 2019)

¶ILCRO: Making Importance Landscapes Flat Again. - Vincent Moens; Simiao Yu; Gholamreza Salimi Khorshidi (CoRR, 2020)

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. - Yali Du 001; Bo Liu 039; Vincent Moens; Ziqi Liu; Zhicheng Ren; Jun Wang 012; Xu Chen 017; Haifeng Zhang 002 (AAMAS, 2021)

Efficient Semi-Implicit Variational Inference. - Vincent Moens; Hang Ren; Alexandre Maraval; Rasul Tutunov; Jun Wang 012; Haitham Ammar (CoRR, 2021)

Implicit Variational Conditional Sampling with Normalizing Flows. - Vincent Moens; Aivar Sootla; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. - Zhao Mandi; Homanga Bharadhwaj; Vincent Moens; Shuran Song; Aravind Rajeswaran; Vikash Kumar (CoRR, 2022)

SAMBA: safe model-based & active reinforcement learning. - Alexander I. Cowen-Rivers; Daniel Palenicek; Vincent Moens; Mohammed Amin Abdullah 001; Aivar Sootla; Jun Wang 012; Haitham Bou-Ammar (Mach. Learn., 2022)

RoboHive: A Unified Framework for Robot Learning. - Vikash Kumar; Rutav M. Shah; Gaoyue Zhou; Vincent Moens; Vittorio Caggiano; Abhishek Gupta 004; Aravind Rajeswaran (NeurIPS, 2023)

RoboHive: A Unified Framework for Robot Learning. - Vikash Kumar; Rutav M. Shah; Gaoyue Zhou; Vincent Moens; Vittorio Caggiano; Jay Vakil; Abhishek Gupta 004; Aravind Rajeswaran (CoRR, 2023)

TorchRL: A data-driven decision-making library for PyTorch. - Albert Bou; Matteo Bettini; Sebastian Dittert; Vikash Kumar; Shagun Sodhani; Xiaomeng Yang; Gianni De Fabritiis; Vincent Moens (ICLR, 2024)

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO. - Sebastian Dittert; Vincent Moens; Gianni De Fabritiis (NeurIPS, 2024)

ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. - Albert Bou; Morgan Thomas; Sebastian Dittert; Carles Navarro; Maciej Majewski; Ye Wang 024; Shivam Patel; Gary Tresadern; Mazen Ahmad; Vincent Moens; Woody Sherman; Simone Sciabola; et al. (J. Chem. Inf. Model., 2024)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. - Matteo Bettini; Amanda Prorok; Vincent Moens (J. Mach. Learn. Res., 2024)

MLGym: A New Framework and Benchmark for Advancing AI Research Agents. - Deepak Nathani; Lovish Madaan; Nicholas Roberts; Nikolay Bashlykov; Ajay Menon; Vincent Moens; Amar Budhiraja; Despoina Magka; Vladislav Vorotilov; Gaurav Chaurasia; Dieuwke Hupkes; Ricardo Silveira Cabral; et al. (CoRR, 2025)