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Extraction and Transfer of Knowledge in Reinforcement Learning

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Two papers on multi-armed bandit accepted at AI&Stats’16 Presentation of “Reinforcement learning and transfer of knowledge” at PDAI organized by AfIA

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

We had two papers accepted at AI&Stats’16 on multi-armed bandit exploiting the arm structure to...

Presentation of “Reinforcement learning and transfer of knowledge” at PDAI organized by AfIA

Alessandro Lazaric is giving an invited talk at the “Journée pour la promotion et le...
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

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.
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Consortium

Consortium
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.
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Structure

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

Publications
Here you can find all the publications and talks related to ExTra-Learn.
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  • Seminar on “Transfer in Reinforcement Learning” @Inria 30 minutes seminar series

    We gave a high-level presentation on the topic of transfer in reinforcement learning. Here is the abstract: The reinforcement learning (RL) framework formalizes the problem of sequential decision-making under uncertainty. …

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    admin 2014/12/10 2014/12/26Talks talk

    ANR Kick-off Meeting

    We presented ExTra-Learn at the “ANR Kick-off meeting” for the projects in the theme “Information treatment, human-machine interaction, and knowledge engineering”. Here you can find the presentation of the project, …

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    admin 2014/11/05 2014/12/26Meeting meeting, talk

    Presentation of “Sparse Multi-Task Reinforcement Learning” @SequeL

    Daniele Calandriello presented “Sparse Multi-Task Reinforcement Learning” a joint work with M. Restelli (PoliMi). Abstract. In multi-task reinforcement learning (MTRL), the objective is to simultaneously learn multiple tasks and exploit …

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    lazaric 2014/10/24 2014/12/10Talks
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    ExTra-Learn is an ANR funded project
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