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» Reinforcement Learning: An Introduction

22

ECML
1998
Springer

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A General Convergence Method for Reinforcement Learning in the Continuous Case

14 years 3 days ago

A General Convergence Method for Reinforcement Learning in the Continuous Case

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Rémi Munos

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17

SEAL
1998
Springer

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Reinforcement Learning: Past, Present and Future

14 years 2 days ago

Reinforcement Learning: Past, Present and Future

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Richard S. Sutton

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26

ICML
2010
IEEE

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Model-based reinforcement learning with nearly tight exploration complexity bounds

13 years 9 months ago

Model-based reinforcement learning with nearly tight exploration complexity bounds

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Istvan Szita, Csaba Szepesvári

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18

ML
2000
ACM

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A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions

13 years 7 months ago

A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions

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Rémi Munos

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34

ROBOCUP
2007
Springer

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Model-Based Reinforcement Learning in a Complex Domain

14 years 2 months ago

Model-Based Reinforcement Learning in a Complex Domain

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Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...

Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu

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