N Akbarzadeh, A Mahajan - arXiv preprint arXiv:2202.03463, 2022 - arxiv.org
Reinforcement learning is an attractive approach to learn good resource allocation and scheduling policies based on data when the system model is unknown. However, the …
On learning Whittle index policy for restless bandits with scalable regret Page 1 GENERIC COLORIZED JOURNAL, VOL. XX, NO. XX, XXXX 2017 1 On learning Whittle index policy for …
N Akbarzadeh, A Mahajan - IEEE Transactions on Control of Network …, 2023 - hal.science
On learning Whittle index policy for restless bandits with scalable regret - Archive ouverte HAL Accéder directement au contenu Documentation FR Français (FR) Anglais (EN) Se connecter …
N Akbarzadeh, A Mahajan - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Reinforcement learning is an attractive approach to learn good resource allocation and scheduling policies based on data when the system model is unknown. However, the …
On learning Whittle index policy for restless bandits with scalable regret Page 1 GENERIC COLORIZED JOURNAL, VOL. XX, NO. XX, XXXX 2017 1 On learning Whittle index policy for …
In recent years, there have been significant advances in the theoretical understanding of reinforcement learning (RL). A common measure of performance of an RL algorithm is …
In recent years, there have been significant advances in the theoretical understanding of reinforcement learning (RL). A common measure of performance of an RL algorithm is …
On learning Whittle index policy for restless bandits with scalable regret Page 1 GENERIC COLORIZED JOURNAL, VOL. XX, NO. XX, XXXX 2017 1 On learning Whittle index policy for …