Bram Grooten - RankMe

17 papers A* 2A 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy. AAAI Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2025	J	`jnl`	Batch Matrix-form Equations and Implementation of Multilayer Perceptrons. CoRR Wieger Wesselink, Bram Grooten, Huub van de Wetering, Qiao Xiao, Decebal Constantin Mocanu
2025	A	`conf`	Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity. AAMAS Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor
2025	J	`jnl`	MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning. CoRR Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Bram Grooten, Meng Fang, Mykola Pechenizkiy
2025	J	`jnl`	NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling. CoRR Bram Grooten, Farid Hasanov, Chenxiang Zhang, Qiao Xiao, Boqian Wu, Zahra Atashgahi, Ghada Sokar, Shiwei Liu, Lu Yin, Elena Mocanu, Mykola Pechenizkiy, Decebal Constantin Mocanu
2025	J	`jnl`	Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy. CoRR Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2024	J	`jnl`	Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity. CoRR Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor
2024	A	`conf`	Large Learning Agents: Towards Continually Aligned Robots with Scale in RL. AAMAS Bram Grooten
2024	J	`jnl`	LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration. CoRR Camiel Oerlemans, Bram Grooten, Michiel Braat, Alaa Alassi, Emilia Silvas, Decebal Constantin Mocanu
2024	A	`conf`	MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. AAMAS Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	J	`jnl`	Nerva: a Truly Sparse Implementation of Neural Networks. CoRR Wieger Wesselink, Bram Grooten, Qiao Xiao, Cassio de Campos, Mykola Pechenizkiy
2023	A	`conf`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	J	`jnl`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	A*	`conf`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. CoRR Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2022	J	`jnl`	Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi. CoRR Bram Grooten, Jelle Wemmenhove, Maurice Poot, Jim Portegies