Bram Grooten

According to our database, Bram Grooten authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.

Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu

CoRR, 2023

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.

Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.

Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi.

Bram Grooten, Jelle Wemmenhove, Maurice Poot, Jim Portegies

CoRR, 2022