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Dive into the research topics where Bram J. Grooten is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Grooten, B., Sokar, G., Dohare, S., Mocanu, E., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C., 2023, AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. Richland: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1932-1941 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi
Grooten, B., Wemmenhove, J., Poot, M. & Portegies, J., 22 Mar 2022, In: arXiv. 2022, 11 p., 2203.11656.Research output: Contribution to journal › Article › Academic
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Thesis
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Deep Reinforcement Learning for the cooperative card game Hanabi
Author: Grooten, B. J., 10 Sept 2021Supervisor: Portegies, J. (Supervisor 1), Wemmenhove, J. (Supervisor 2) & Poot, M. (Supervisor 2)
Student thesis: Master
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Programming in mathematics and physics classes
Author: Grooten, B. J. & Tulkens, B. J. M., 15 Jul 2020Supervisor: van Leeuwen, K. A. H. (Supervisor 1)
Student thesis: Master
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Weighted bipartite b-matching for Amsterdam high schools in practice
Author: Grooten, B. J., 17 Oct 2017Supervisor: Keijsper, J. C. M. (Supervisor 1)
Student thesis: Bachelor
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