Path Planning for Multi-Arm Manipulators Using Deep Reinforcement Learning: Soft Actor–Critic with Hindsight Experience Replay

Since path planning for multi-arm manipulators is a complicated high-dimensional problem, effective and fast path generation is not easy for the arbitrarily given start and goal locations of the end effector. Especially, when it comes to deep reinforcement learning-based path planning, high-dimensio...

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Detalles Bibliográficos
Autores principales: Prianto, Evan, Kim, MyeongSeop, Park, Jae-Han, Bae, Ji-Hun, Kim, Jung-Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590214/
https://www.ncbi.nlm.nih.gov/pubmed/33086774
http://dx.doi.org/10.3390/s20205911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590214/
https://www.ncbi.nlm.nih.gov/pubmed/33086774
http://dx.doi.org/10.3390/s20205911

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