Aidan Scannell

17 papers A* 4A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextual Latent World Models for Offline Meta Reinforcement Learning. CoRR Mohammadreza Nakheai, Aidan Scannell, Kevin S. Luck, Joni Pajarinen
2026	J	`jnl`	Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modelling and State Tracking. CoRR Vaisakh Shaj, Cameron Barker, Aidan Scannell, Andras Szecsenyi, Elliot J. Crowley, Amos J. Storkey
2025	A*	`conf`	Discrete Codebook World Models for Continuous Control. ICLR Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	J	`jnl`	Discrete Codebook World Models for Continuous Control. CoRR Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	A*	`conf`	Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. AAAI Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen
2025	J	`jnl`	Forgetting is Everywhere. CoRR Ben Sanati, Thomas L. Lee, Trevor McInroe, Aidan Scannell, Nikolay Malkin, David Abel, Amos Storkey
2025	J	`jnl`	Generalist World Model Pre-Training for Efficient Reinforcement Learning. CoRR Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report. CoRR Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul E. Chang
2024	J	`jnl`	Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. CoRR Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	A*	`conf`	Function-space Parameterization of Neural Networks for Sequential Learning. ICLR Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	J	`jnl`	Function-space Parameterization of Neural Networks for Sequential Learning. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	J	`jnl`	Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning. CoRR Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	—	`conf`	Residual learning and context encoding for adaptive offline-to-online reinforcement learning. L4DC Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	J	`jnl`	iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. CoRR Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
2023	A	`conf`	Mode-constrained Model-based Reinforcement Learning via Gaussian Processes. AISTATS Aidan Scannell, Carl Henrik Ek, Arthur Richards
2023	J	`jnl`	Sparse Function-space Representation of Neural Networks. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2021	A*	`conf`	Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation. ICRA Aidan Scannell, Carl Henrik Ek, Arthur Richards