PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning

Nicolas Perrin
Olivier Sigaud

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hal-03080918 , version 1 (17-12-2020)

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Guillaume Matheron, Nicolas Perrin, Olivier Sigaud. PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. Artificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.295-307, ⟨10.1007/978-3-030-61616-8_24⟩. ⟨hal-03080918⟩
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