Obserwuj
Bram Grooten
Bram Grooten
PhD candidate, Eindhoven University of Technology
Zweryfikowany adres z tue.nl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
62023
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
42022
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
22024
Deep Reinforcement Learning for the cooperative card game Hanabi
B Grooten
Eindhoven University of Technology, 2021
22021
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
2023
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–9