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Here’s some publications that I’ve worked on over the years.
Yi Zhao
,
Aidan Scannell
,
Wenshuai Zhao
,
Cui Yuxin
,
Tianyu Cui
,
Le Chen
,
Arno Solin
,
Juho Kannala
,
Joni Pajarinen
(2025).
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
. arXiv preprint arXiv:2502.19544v2.
PDF
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Yi Zhao
,
Aidan Scannell
,
Cui Yuxin
,
Tianyu Cui
,
Le Chen
,
Arno Solin
,
Juho Kannala
,
Joni Pajarinen
(2025).
Generalist World Model Pre-Training for Efficient Reinforcement Learning
. ICLR 2025 Workshop on World Models: Understanding, Modelling and Scaling.
PDF
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DOI
Aidan Scannell
,
Mohammadreza Nakhaei
,
Kalle Kujanpää
,
Yi Zhao
,
Kevin Luck
,
Arno Solin
,
Joni Pajarinen
(2025).
Discrete Codebook World Models for Continuous Control
. In The Thirteenth International Conference on Learning Representations (ICLR).
Link
PDF
Code
Slides
Video
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DOI
Mohammadreza Nakhaei
,
Aidan Scannell
,
Joni Pajarinen
(2025).
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
. In AAAI 2025".
PDF
Code
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Aidan Scannell
,
Kalle Kujanpää
,
Yi Zhao
,
Mohammadreza Nakhaei
,
Arno Solin
,
Joni Pajarinen
(2024).
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning
. arXiv preprint arXiv:2406.02696.
PDF
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DOI
Aidan Scannell
,
Kalle Kujanpää
,
Yi Zhao
,
Mohammadreza Nakhaei
,
Arno Solin
,
Joni Pajarinen
(2024).
Quantized Representations Prevent Dimensional Collapse in Self-predictive RL
. ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (ARLET).
Link
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Mohammadreza Nakhaei
,
Aidan Scannell
,
Joni Pajarinen
(2024).
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
. In 4th Annual Conference on Learning for Dynamics and Control (L4DC).
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Code
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DOI
Aidan Scannell
Equal contribution
,
Riccardo Mereu
Equal contribution
,
Paul Chang
,
Ella Tamir
,
Joni Pajarinen
,
Arno Solin
(2024).
Function-space Parameterization of Neural Networks for Sequential Learning
. In The Twelth International Conference on Learning Representations (ICLR).
PDF
Poster
Code
Slides
Cite
DOI
Aidan Scannell
Equal contribution
,
Riccardo Mereu
Equal contribution
,
Paul Chang
,
Ella Tamir
,
Joni Pajarinen
,
Arno Solin
(2023).
Sparse Function-space Representation of Neural Networks
. In ICML 2023 Workshop on Duality Principles for Modern Machine Learning.
Link
PDF
Poster
Code
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Aidan Scannell
,
Carl Henrik Ek
,
Arthur Richards
(2023).
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes
. In 26th International Conference on Artificial Intelligence and Statistics (AISTATS).
PDF
Poster
Code
Source Document
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