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Exploration versus exploitation in reinforcement learning: a stochastic
  control approach

Exploration versus exploitation in reinforcement learning: a stochastic control approach

4 December 2018
Haoran Wang
T. Zariphopoulou
X. Zhou
ArXivPDFHTML

Papers citing "Exploration versus exploitation in reinforcement learning: a stochastic control approach"

4 / 4 papers shown
Title
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
91
0
0
13 Mar 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
275
0
0
31 Dec 2024
Gradient Flows for Regularized Stochastic Control Problems
Gradient Flows for Regularized Stochastic Control Problems
David Siska
Lukasz Szpruch
38
21
0
10 Jun 2020
A Tour of Reinforcement Learning: The View from Continuous Control
A Tour of Reinforcement Learning: The View from Continuous Control
Benjamin Recht
28
623
0
25 Jun 2018
1