Publications

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen (2024). Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning. 4th Annual Conference on Learning for Dynamics and Control (L4DC).

Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin (2024). Function-space Prameterization of Neural Networks for Sequential Learning. The Twelth International Conference on Learning Representations (ICLR).

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Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin (2023). Sparse Function-space Representation of Neural Networks. ICML 2023 Workshop on Duality Principles for Modern Machine Learning.

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Aidan Scannell, Carl Henrik Ek, Arthur Richards (2023). Mode-constrained Model-based Reinforcement Learning via Gaussian Processes. 26th International Conference on Artificial Intelligence and Statistics (AISTATS).

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Aidan Scannell (2022). Bayesian Learning for Control in Multimodal Dynamical Systems. University of Bristol.

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Aidan Scannell, Carl Henrik Ek, Arthur Richards (2021). Identifiable Mixtures of Sparse Variational Gaussian Process Experts. UK RAS CDT Conference.

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Aidan Scannell, Carl Henrik Ek, Arthur Richards (2021). Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation. IEEE International Conference on Robotics and Automation (ICRA).

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