Non-stationary representation learning in sequential linear bandits
In this paper, we study representation learning for multi-task decision-making in non-
stationary environments. We consider the framework of sequential linear bandits, where the …
stationary environments. We consider the framework of sequential linear bandits, where the …
[PDF][PDF] Non-Stationary Representation Learning in Sequential Linear Bandits
Y QIN, T MENARA, S OYMAK, S CHING… - tommasomenara.com
In this paper, we study representation learning for multi-task decision-making in non-
stationary environments. We consider the framework of sequential linear bandits, where the …
stationary environments. We consider the framework of sequential linear bandits, where the …
Non-Stationary Representation Learning in Sequential Linear Bandits
Y Qin, T Menara, S Oymak, SN Ching… - arXiv e …, 2022 - ui.adsabs.harvard.edu
In this paper, we study representation learning for multi-task decision-making in non-
stationary environments. We consider the framework of sequential linear bandits, where the …
stationary environments. We consider the framework of sequential linear bandits, where the …
Non-Stationary Representation Learning in Sequential Linear Bandits
Y Qin, T Menara, S Oymak, SN Ching… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we study representation learning for multi-task decision-making in non-
stationary environments. We consider the framework of sequential linear bandits, where the …
stationary environments. We consider the framework of sequential linear bandits, where the …