Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi. - Bram Grooten; Jelle Wemmenhove; Maurice Poot; Jim Portegies (CoRR, 2022)

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 (AAMAS, 2023)

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. - Aleksandra Nowak 001; Bram Grooten; Decebal Constantin Mocanu; Jacek Tabor (NeurIPS, 2023)

Large Learning Agents: Towards Continually Aligned Robots with Scale in RL. - Bram Grooten (AAMAS, 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 (AAMAS, 2024)

Nerva: a Truly Sparse Implementation of Neural Networks. - Wieger Wesselink; Bram Grooten; Qiao Xiao; Cassio de Campos; Mykola Pechenizkiy (CoRR, 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)

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 (AAMAS, 2025)

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling. - Bram Grooten; Farid Hasanov; Chenxiang Zhang; Qiao Xiao; Boqian Wu; Zahra Atashgahi; Ghada Sokar; Shiwei Liu 003; Lu Yin 006; Elena Mocanu; Mykola Pechenizkiy; Decebal Constantin Mocanu (CoRR, 2025)

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning. - Tristan Tomilin; Luka van den Boogaard; Samuel Garcin; Bram Grooten; Meng Fang; Mykola Pechenizkiy (CoRR, 2025)