Moens, Vincent

8 publications

ICLRW 2024 AceGen: A TorchRL-Based Toolkit for Reinforcement Learning in Generative Chemistry Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro Ramírez, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis

MLOSS 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

ICMLW 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

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

ICLR 2024 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

NeurIPS 2023 RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

MLJ 2022 SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar

ICML 2018 The Hierarchical Adaptive Forgetting Variational Filter Vincent Moens