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Risto Vuorio
Risto Vuorio
Bestätigte E-Mail-Adresse bei cs.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multimodal model-agnostic meta-learning via task-aware modulation
R Vuorio, SH Sun, H Hu, JJ Lim
Advances in Neural Information Processing Systems 32, 2019
1582019
Deep reinforcement learning for multi-driver vehicle dispatching and repositioning problem
J Holler, R Vuorio, Z Qin, X Tang, Y Jiao, T Jin, S Singh, C Wang, J Ye
2019 IEEE International Conference on Data Mining (ICDM), 1090-1095, 2019
592019
Meta continual learning
R Vuorio, DY Cho, D Kim, J Kim
arXiv preprint arXiv:1806.06928, 2018
272018
Toward multimodal model-agnostic meta-learning
R Vuorio, SH Sun, H Hu, JJ Lim
arXiv preprint arXiv:1812.07172, 2018
232018
On the practical consistency of meta-reinforcement learning algorithms
Z Xiong, L Zintgraf, J Beck, R Vuorio, S Whiteson
arXiv preprint arXiv:2112.00478, 2021
42021
Learning State Representations from Random Deep Action-conditional Predictions
Z Zheng, V Veeriah, R Vuorio, RL Lewis, S Singh
Advances in Neural Information Processing Systems 34, 23679-23691, 2021
32021
No DICE: An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
R Vuorio, JA Beck, G Farquhar, JN Foerster, S Whiteson
Deep RL Workshop NeurIPS 2021, 2021
32021
Pairwise weights for temporal credit assignment
Z Zheng, R Vuorio, R Lewis, S Singh
arXiv preprint arXiv:2102.04999, 2021
22021
Deconfounded Imitation Learning
R Vuorio, J Brehmer, H Ackermann, D Dijkman, T Cohen, P de Haan
arXiv preprint arXiv:2211.02667, 2022
2022
Hypernetworks in Meta-Reinforcement Learning
J Beck, MT Jackson, R Vuorio, S Whiteson
arXiv preprint arXiv:2210.11348, 2022
2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
R Vuorio, J Beck, S Whiteson, J Foerster, G Farquhar
arXiv preprint arXiv:2209.11303, 2022
2022
Adaptive Pairwise Weights for Temporal Credit Assignment
Z Zheng, R Vuorio, R Lewis, S Singh
2022
Model-Agnostic Meta-Learning for Multimodal Task Distributions
R Vuorio, SH Sun, H Hu, JJ Lim
2018
Meta Continual Learning
MC Learning, R Vuorio, DY Cho, D Kim, JKSK T-Brain
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