An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner
- DOI
- 10.1109/access.2024.3402835
- Published
- 2024
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2024.3402835,
title = {An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner},
author = {Shin Morishima and Hiroki Matsutani},
year = {2024},
journal = {IEEE Access},
doi = {10.1109/access.2024.3402835},
url = {https://doi.org/10.1109/access.2024.3402835}
}RIS
TY - JOUR TI - An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner AU - Shin Morishima AU - Hiroki Matsutani PY - 2024 JO - IEEE Access DO - 10.1109/access.2024.3402835 UR - https://doi.org/10.1109/access.2024.3402835 ER -
APA
Morishima, S., & Matsutani, H. (2024). An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner. IEEE Access. https://doi.org/10.1109/access.2024.3402835
Source records
- crossref · retrieved 2026-11-10T09:08:13.746Z