Effective deep reinforcement learning setups for multiple goals on visual navigation (2020)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; GRASSI JUNIOR, VALDIR - EESC ; HORITA, LUIZ RICARDO TAKESHI - ICMC
- Unidades: ICMC; EESC
- DOI: 10.1109/IJCNN48605.2020.9206917
- Subjects: ALGORITMOS; REDES NEURAIS
- Keywords: reinforcement learning; goal-driven navigation; visual navigation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HORITA, Luiz Ricardo Takeshi e WOLF, Denis Fernando e GRASSI JÚNIOR, Valdir. Effective deep reinforcement learning setups for multiple goals on visual navigation. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206917. Acesso em: 07 nov. 2024. -
APA
Horita, L. R. T., Wolf, D. F., & Grassi Júnior, V. (2020). Effective deep reinforcement learning setups for multiple goals on visual navigation. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206917 -
NLM
Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917 -
Vancouver
Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917 - Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task
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Informações sobre o DOI: 10.1109/IJCNN48605.2020.9206917 (Fonte: oaDOI API)
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