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Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks

Andrew Melnik, Luca Lach, Matthias Plappert, Timo Korthals, Robert Haschke, Helge J. Ritter. Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Front. Robotics and AI, 8:538773, 2021. [doi]

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Andrew Melnik

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Luca Lach

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Matthias Plappert

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Timo Korthals

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Robert Haschke

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Helge J. Ritter

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