Vincent Moens - RankMe

21 papers A* 4A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MLGym: A New Framework and Benchmark for Advancing AI Research Agents. CoRR 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, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu
2024	J	`jnl`	ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. J. Chem. Inf. Model. Albert Bou, Morgan C. Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis
2024	J	`jnl`	ACEGEN: Reinforcement learning of generative chemical agents for drug discovery. CoRR Albert Bou, Morgan C. 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
2024	J	`jnl`	BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Matteo Bettini, Amanda Prorok, Vincent Moens
2024	A*	`conf`	BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO. NeurIPS Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
2024	J	`jnl`	BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO. CoRR Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
2024	A*	`conf`	TorchRL: A data-driven decision-making library for PyTorch. ICLR Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2023	J	`jnl`	BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR Matteo Bettini, Amanda Prorok, Vincent Moens
2023	A*	`conf`	RoboHive: A Unified Framework for Robot Learning. NeurIPS Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
2023	J	`jnl`	RoboHive: A Unified Framework for Robot Learning. CoRR Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran
2023	J	`jnl`	TorchRL: A data-driven decision-making library for PyTorch. CoRR Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2022	J	`jnl`	CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. CoRR Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar
2022	J	`jnl`	SAMBA: safe model-based & active reinforcement learning. Mach. Learn. Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar
2021	J	`jnl`	Efficient Semi-Implicit Variational Inference. CoRR Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
2021	J	`jnl`	Implicit Variational Conditional Sampling with Normalizing Flows. CoRR Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang
2021	A	`conf`	Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
2020	J	`jnl`	SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar
2020	J	`jnl`	¶ILCRO: Making Importance Landscapes Flat Again. CoRR Vincent Moens, Simiao Yu, Gholamreza Salimi Khorshidi
2019	J	`jnl`	Learning and forgetting using reinforced Bayesian change detection. PLoS Comput. Biol. Vincent Moens, Alexandre Zenon
2018	A*	`conf`	The Hierarchical Adaptive Forgetting Variational Filter. ICML Vincent Moens
2018	J	`jnl`	The Hierarchical Adaptive Forgetting Variational Filter. CoRR Vincent Moens