Multi-Level Deep Deterministic Policy Gradient reinforcement learning for safety-constrained trajectory optimization of collaborative industrial robots
- DOI
- 10.3389/frai.2026.1914042
- Published
- 2026-10-09
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1914042,
title = {Multi-Level Deep Deterministic Policy Gradient reinforcement learning for safety-constrained trajectory optimization of collaborative industrial robots},
author = {Akhanseri Ikramov and Sayat Ibrayev},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1914042},
url = {https://doi.org/10.3389/frai.2026.1914042}
}RIS
TY - JOUR TI - Multi-Level Deep Deterministic Policy Gradient reinforcement learning for safety-constrained trajectory optimization of collaborative industrial robots AU - Akhanseri Ikramov AU - Sayat Ibrayev PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1914042 UR - https://doi.org/10.3389/frai.2026.1914042 ER -
APA
Ikramov, A., & Ibrayev, S. (2026). Multi-Level Deep Deterministic Policy Gradient reinforcement learning for safety-constrained trajectory optimization of collaborative industrial robots. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1914042
Source records
- crossref · retrieved 2026-11-04T19:49:58.199Z