A survey on offline reinforcement learning: Taxonomy, review, and open problems
RF Prudencio, MROA Maximo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread adoption of deep learning, reinforcement learning (RL) has
experienced a dramatic increase in popularity, scaling to previously intractable problems …
experienced a dramatic increase in popularity, scaling to previously intractable problems …
Towards accelerating offline rl based recommender systems
M Mishra, R Singhal, R Singh - … of the First International Conference on …, 2021 - dl.acm.org
Reinforcement learning optimizes an objective function by learning an optimal policy for
taking a sequence of actions in an environment. Offline RL is a mechanism to learn policy …
taking a sequence of actions in an environment. Offline RL is a mechanism to learn policy …
[PDF][PDF] ALICE III—Autonomes Lernen in Komplexen Umgebungen III
A von Beuningen, V Brandstetter, P von Bünau… - 2022 - edocs.tib.eu
Die ursprüngliche Motivation für das Projektvorhaben ALICE-III bestand in der Erforschung
und Erprobung einer vielschichtigen, engen Verzahnung von physikalisch-numerischen …
und Erprobung einer vielschichtigen, engen Verzahnung von physikalisch-numerischen …
Latent variable-based reinforcement learning for fx trading
A Mundo - 2021 - politesi.polimi.it
Abstract The Foreign Exchange, also known as Forex, is a highly dynamic and active market
for trading currencies, offering participants an exciting and challenging possibility to develop …
for trading currencies, offering participants an exciting and challenging possibility to develop …