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引用	24	24
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2022202320243 7 14

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Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU Eindhoven在 uni.lu 的电子邮件经过验证
Mykola PechenizkiyEindhoven University of Technology在 tue.nl 的电子邮件经过验证
Matthew E. TaylorProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
Elena MocanuAssistant Professor, University of Twente在 utwente.nl 的电子邮件经过验证
Shibhansh DoharePhD Student, University of Alberta在 ualberta.ca 的电子邮件经过验证
Ghada SokarGoogle DeepMind在 google.com 的电子邮件经过验证
Maurice PootEindhoven University of Technology在 tue.nl 的电子邮件经过验证
Jacobus W. PortegiesAssistant Professor, Eindhoven University of Technology在 tue.nl 的电子邮件经过验证
Aleksandra NowakPh.D. Student, Computer Science, Jagiellonian University在 doctoral.uj.edu.pl 的电子邮件经过验证
Jacek TaborProfesor informatyki, Uniwersytet Jagielloński在 ii.uj.edu.pl 的电子邮件经过验证
Gautham VasanAmii, University of Alberta在 ualberta.ca 的电子邮件经过验证
Meng FangUniversity of Liverpool在 liverpool.ac.uk 的电子邮件经过验证
A. Rupam MahmoodUniversity of Alberta, Amii在 ualberta.ca 的电子邮件经过验证

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Bram Grooten

PhD candidate, Eindhoven University of Technology

在 tue.nl 的电子邮件经过验证 - 首页

deep learning reinforcement learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning B Grooten, G Sokar, S Dohare, E Mocanu, ME Taylor, M Pechenizkiy, ... Autonomous Agents and Multiagent Systems (AAMAS), 2023	10	2023
Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi B Grooten, J Wemmenhove, M Poot, J Portegies Adaptive and Learning Agents (ALA) Workshop at AAMAS, 2022	6	2022
Fantastic weights and how to find them: Where to prune in dynamic sparse training A Nowak, B Grooten, DC Mocanu, J Tabor Advances in Neural Information Processing Systems 36, 2024	4	2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning B Grooten, T Tomilin, G Vasan, ME Taylor, AR Mahmood, M Fang, ... arXiv preprint arXiv:2312.15339, 2023	2	2023
Deep Reinforcement Learning for the cooperative card game Hanabi B Grooten Eindhoven University of Technology, 2021	2	2021
Nerva: a Truly Sparse Implementation of Neural Networks W Wesselink, B Grooten, Q Xiao, C de Campos, M Pechenizkiy arXiv preprint arXiv:2407.17437, 2024		2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity C Muslimani, B Grooten, DRS Mamillapalli, M Pechenizkiy, DC Mocanu, ... arXiv preprint arXiv:2406.06495, 2024		2024
Large Learning Agents: Towards Continually Aligned Robots with Scale in RL. B Grooten AAMAS, 2746-2748, 2024		2024
Towards Implementing Truly Sparse Connections in Deep RL Agents B Grooten, G Sokar, E Mocanu, S Dohare, M Taylor, M Pechenizkiy, ... Sparsity in Neural Networks: Advancing Understanding and Practice 2022, 2022		2022
Technical report AI Snakes competition B Grooten, I Schilstra, W van der Hert, D van Genuchten		2020
Programming in mathematics and physics classes B Grooten, BJM Tulkens Eindhoven University of Technology, 2020		2020
Weighted bipartite b-matching for Amsterdam high schools in practice B Grooten Eindhoven University of Technology, 2017		2017

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