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2020 – today
- 2024
[j4]Albert Bou
, Morgan Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis:
ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. J. Chem. Inf. Model. 64(15): 5900-5911 (2024)- [j3]Matteo Bettini, Amanda Prorok, Vincent Moens:
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 217:1-217:10 (2024) - [c4]Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens:
TorchRL: A data-driven decision-making library for PyTorch. ICLR 2024 - [i11]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:
ACEGEN: Reinforcement learning of generative chemical agents for drug discovery. CoRR abs/2405.04657 (2024) - [i10]Sebastian Dittert, Vincent Moens, Gianni De Fabritiis:
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO. CoRR abs/2406.17490 (2024) - 2023
- [c3]Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran:
RoboHive: A Unified Framework for Robot Learning. NeurIPS 2023 - [i9]Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens:
TorchRL: A data-driven decision-making library for PyTorch. CoRR abs/2306.00577 (2023) - [i8]Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran:
RoboHive: A Unified Framework for Robot Learning. CoRR abs/2310.06828 (2023) - [i7]Matteo Bettini, Amanda Prorok, Vincent Moens:
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR abs/2312.01472 (2023) - 2022
- [j2]Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar:
SAMBA: safe model-based & active reinforcement learning. Mach. Learn. 111(1): 173-203 (2022) - [i6]Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar:
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. CoRR abs/2212.05711 (2022) - 2021
- [c2]Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang:
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS 2021: 456-464 - [i5]Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar:
Efficient Semi-Implicit Variational Inference. CoRR abs/2101.06070 (2021) - [i4]Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang:
Implicit Variational Conditional Sampling with Normalizing Flows. CoRR abs/2107.02474 (2021) - 2020
- [i3]Vincent Moens, Simiao Yu, Gholamreza Salimi Khorshidi:
¶ILCRO: Making Importance Landscapes Flat Again. CoRR abs/2001.09696 (2020) - [i2]Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar:
SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR abs/2006.09436 (2020)
2010 – 2019
- 2019
- [j1]Vincent Moens, Alexandre Zenon:
Learning and forgetting using reinforced Bayesian change detection. PLoS Comput. Biol. 15(4) (2019) - 2018
- [c1]Vincent Moens:
The Hierarchical Adaptive Forgetting Variational Filter. ICML 2018: 3603-3612 - [i1]Vincent Moens:
The Hierarchical Adaptive Forgetting Variational Filter. CoRR abs/1805.05703 (2018)
Coauthor Index
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