Scannell, Aidan

7 publications

ICLR 2025 Discrete Codebook World Models for Continuous Control Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen

AAAI 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen

ICLRW 2025 Generalist World Model Pre-Training for Efficient Reinforcement Learning Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

ICLR 2024 Function-Space Parameterization of Neural Networks for Sequential Learning Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin

ICMLW 2024 Quantized Representations Prevent Dimensional Collapse in Self-Predictive RL Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaeinezhadfard, Arno Solin, Joni Pajarinen

L4DC 2024 Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

AISTATS 2023 Mode-Constrained Model-Based Reinforcement Learning via Gaussian Processes Aidan Scannell, Carl Henrik Ek, Arthur Richards