Bram Grooten

According to our database, Bram Grooten authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration.

Camiel Oerlemans, Bram Grooten, Michiel Braat, Alaa Alassi, Emilia Silvas, Decebal Constantin Mocanu

CoRR, 2024

Nerva: a Truly Sparse Implementation of Neural Networks.

Wieger Wesselink, Bram Grooten, Qiao Xiao, Cassio de Campos, Mykola Pechenizkiy

CoRR, 2024

Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity.

Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor

CoRR, 2024

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Large Learning Agents: Towards Continually Aligned Robots with Scale in RL.

Bram Grooten

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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