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Bram Grooten
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 6
Top Topics
Policy Gradient
Reinforcement Learning
Weighted Sum
Linearly Combined
Top Venues
CoRR
AAMAS
NeurIPS
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Publications
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Aleksandra Nowak
,
Bram Grooten
,
Decebal Constantin Mocanu
,
Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.
NeurIPS
(2023)
Bram Grooten
,
Ghada Sokar
,
Shibhansh Dohare
,
Elena Mocanu
,
Matthew E. Taylor
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
CoRR
(2023)
Bram Grooten
,
Ghada Sokar
,
Shibhansh Dohare
,
Elena Mocanu
,
Matthew E. Taylor
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
AAMAS
(2023)
Bram Grooten
,
Tristan Tomilin
,
Gautham Vasan
,
Matthew E. Taylor
,
A. Rupam Mahmood
,
Meng Fang
,
Mykola Pechenizkiy
,
Decebal Constantin Mocanu
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
CoRR
(2023)
Aleksandra Nowak
,
Bram Grooten
,
Decebal Constantin Mocanu
,
Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.
CoRR
(2023)
Bram Grooten
,
Jelle Wemmenhove
,
Maurice Poot
,
Jim Portegies
Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi.
CoRR
(2022)