Bram Grooten

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Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenPatvirtintas el. paštas uni.lu
Mykola PechenizkiyEindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Matthew E. TaylorProfessor, University of AlbertaPatvirtintas el. paštas ualberta.ca
Elena MocanuAssistant Professor, University of TwentePatvirtintas el. paštas utwente.nl
Shibhansh DoharePhD Student, University of AlbertaPatvirtintas el. paštas ualberta.ca
Ghada SokarGoogle DeepMindPatvirtintas el. paštas google.com
Maurice PootEindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Jacobus W. PortegiesAssistant Professor, Eindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Aleksandra NowakPh.D. Student, Computer Science, Jagiellonian UniversityPatvirtintas el. paštas doctoral.uj.edu.pl
Jacek TaborProfesor informatyki, Uniwersytet JagiellońskiPatvirtintas el. paštas ii.uj.edu.pl
Gautham VasanAmii, University of AlbertaPatvirtintas el. paštas ualberta.ca
Meng FangUniversity of LiverpoolPatvirtintas el. paštas liverpool.ac.uk
A. Rupam MahmoodUniversity of Alberta, AmiiPatvirtintas el. paštas ualberta.ca

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Bram Grooten

PhD candidate, Eindhoven University of Technology

Patvirtintas el. paštas tue.nl - Pagrindinis puslapis

deep learning reinforcement learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	11	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	4	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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