| Trajectory optimisation in learned multimodal dynamical systems via latent-ode collocation A Scannell, CH Ek, A Richards 2021 IEEE International Conference on Robotics and Automation (ICRA), 12745 …, 2021 | 10 | 2021 |
| Function-space Parameterization of Neural Networks for Sequential Learning A Scannell, R Mereu, PE Chang, E Tamir, J Pajarinen, A Solin The Twelfth International Conference on Learning Representations, 2024 | 5 | 2024 |
| Sparse Function-space Representation of Neural Networks A Scannell, R Mereu, P Chang, E Tamir, J Pajarinen, A Solin ICML 2023 Workshop on Duality Principles for Modern Machine Learning, 2023 | 4 | 2023 |
| iQRL--Implicitly Quantized Representations for Sample-efficient Reinforcement Learning A Scannell, K Kujanpää, Y Zhao, M Nakhaei, A Solin, J Pajarinen arXiv preprint arXiv:2406.02696, 2024 | 1 | 2024 |
| Quantized Representations Prevent Dimensional Collapse in Self-predictive RL A Scannell, K Kujanpää, Y Zhao, M Nakhaeinezhadfard, A Solin, ... ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 2024 | 1 | 2024 |
| Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning M Nakhaei, A Scannell, J Pajarinen Proceedings of the 6th Annual Learning for Dynamics & Control Conference 242 …, 2024 | 1 | 2024 |
| Mode-constrained Model-based Reinforcement Learning via Gaussian Processes A Scannell, CH Ek, A Richards International Conference on Artificial Intelligence and Statistics, 3299-3314, 2023 | 1 | 2023 |
| Bayesian Learning for Control in Multimodal Dynamical Systems A Scannell University of Bristol, 2022 | 1 | 2022 |
| Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning M Nakhaei, A Scannell, J Pajarinen arXiv preprint arXiv:2412.14834, 2024 | | 2024 |
Joni PajarinenAssociate Professor at Aalto UniversityVerified email at aalto.fi
