Exploration versus exploitation in reinforcement learning: a stochastic control approach

4 December 2018

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

14 / 14 papers shown

Title
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 118 0 0 13 Mar 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Hashmath Shaik Alex Doboli OffRL ELM 293 0 0 31 Dec 2024
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 Benjamin Recht 37 623 0 25 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 159 8,236 0 04 Jan 2018
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 38 106 0 06 Jul 2017
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 40 594 0 06 Jun 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 76 469 0 28 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 42 1,329 0 27 Feb 2017
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 52 876 0 11 Nov 2016
Taming the Noise in Reinforcement Learning via Soft Updates Roy Fox Ari Pakman Naftali Tishby 26 336 0 28 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 127 13,174 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 163 3,418 0 02 Apr 2015
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 89 697 0 11 Jan 2013