paper: doi:10.1007/s11831-021-09552-3
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| lom_id | doi | openalex | s2_paper_id | arxiv | pmid | pmcid | acl | title | year | venue | oa_url | ingested_ts | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| doi:10.1007/s11831-021-09552-3 | 10.1007/s11831-021-09552-3 | W3126692421 | Deep Reinforcement Learning Techniques in Diversified Domains: A Survey | 2021 | Archives of Computational Methods in Engineering | https://doi.org/10.1007/s11831-021-09552-3 | 2026-09-02T02:37:09Z | openalex |