Extraction and Transfer of Knowledge in Reinforcement Learning

(English) Presentation of « Reinforcement learning and transfer of knowledge » at PDAI organized by AfIA

(English) Two papers on multi-armed bandit accepted at AI&Stats’16

Désolé, cet article est seulement disponible en Anglais Américain.

(English) Presentation of « Reinforcement learning and transfer of knowledge » at PDAI organized by AfIA

Désolé, cet article est seulement disponible en Anglais Américain.

ExTra-Learn is a JCJC-ANR project on "Transfer in Reinforcement Learning" at SequeL (Inria Lille - Nord Europe).
Our objective is to develop novel transfer learning algorithms with the ultimate goal of enabling
reinforcement learning algorithms to continuously improve their performance over time.

Description

ExTra-Learn investigates how reinforcement learning can be enhanced by a transfer approach where the learner leverages over the experience collected in solving multiple tasks to improve the learning performance.

ExTra-Learn is funded by ANR through the JCJC program and it is hosted at INRIA Lille within the SequeL team and it is managed by A. Lazaric.

ExTra-Learn is organized over three main tasks investigating different aspects of transfer in reinforcement learning.

Here you can find all the publications and talks related to ExTra-Learn.

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ANR Réunion de lancement

Et voici votre premier billet.

(English) Presentation of « Sparse Multi-Task Reinforcement Learning » @SequeL

Désolé, cet article est seulement disponible en Anglais Américain.

Extraction and Transfer of Knowledge in Reinforcement Learning

(English) Two papers on multi-armed bandit accepted at AI&Stats’16

(English) Presentation of « Reinforcement learning and transfer of knowledge » at PDAI organized by AfIA

Description

Consortium

Structure

Publications

Une autre actualité

ANR Réunion de lancement

(English) Presentation of « Sparse Multi-Task Reinforcement Learning » @SequeL