Aidan Scannell

Research activity per year

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Dive into the research topics where Aidan Scannell is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

2 Conference article
1 Conference article in proceedings
1 Poster

FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING
Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc., 29 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
1 Citation (Scopus)
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Nakhaeinezhadfard, M., Scannell, A. & Pajarinen, J., 2024, In: Proceedings of Machine Learning Research. 242, p. 1107-1121 15 p.
Research output: Contribution to journal › Conference article › Scientific › peer-review

Open Access
File
13 Downloads (Pure)
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes
Scannell, A., Ek, C. H. & Richards, A., 2023, In: Proceedings of Machine Learning Research. 206, p. 3299-3314 16 p.
Research output: Contribution to journal › Conference article › Scientific › peer-review

Open Access
File
16 Downloads (Pure)
Sparse Function-space Representation of Neural Networks
Scannell, A., Mereu, R., Chang, P., Tamir, E., Pajarinen, J. & Solin, A., 2023. 6 p.
Research output: Contribution to conference › Poster › Scientific › peer-review

Open Access

1 Finished

FCAI: Finnish Center for Artificial Intelligence (FCAI)
Pajarinen, J. (Principal investigator) & Scannell, A. (Project Member)
01/01/2022 → 31/12/2022
Project: Academy of Finland: Other research funding

1 Conference presentation

Investigating Bayesian Neural Network Dynamics Models for Model-Based Reinforcement Learning
Scannell, A. (Speaker), Solin, A. (Contributor) & Pajarinen, J. (Contributor)
16 Nov 2022
Activity: Talk or presentation types › Conference presentation

Aidan Scannell

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Collaborations and top research areas from the last five years

Dive into details

FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes

Sparse Function-space Representation of Neural Networks

FCAI: Finnish Center for Artificial Intelligence (FCAI)

Investigating Bayesian Neural Network Dynamics Models for Model-Based Reinforcement Learning

Aidan Scannell

Fingerprint

Collaborations and top research areas from the last five years

Research output

FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes

Sparse Function-space Representation of Neural Networks

Projects

FCAI: Finnish Center for Artificial Intelligence (FCAI)

Activities

Investigating Bayesian Neural Network Dynamics Models for Model-Based Reinforcement Learning