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Article: Policy optimization by looking ahead for model-based offline reinforcement learning
| Title | Policy optimization by looking ahead for model-based offline reinforcement learning |
|---|---|
| Authors | |
| Issue Date | 1-Mar-2024 |
| Publisher | IEEE Xplore |
| Citation | IEEE International Conference on Robotics and Automation (ICRA), 2024 How to Cite? |
| Persistent Identifier | http://hdl.handle.net/10722/344215 |
| ISSN | 2023 SCImago Journal Rankings: 1.620 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Yang | - |
| dc.contributor.author | Hofert, Jan Marius | - |
| dc.date.accessioned | 2024-07-16T03:41:42Z | - |
| dc.date.available | 2024-07-16T03:41:42Z | - |
| dc.date.issued | 2024-03-01 | - |
| dc.identifier.citation | IEEE International Conference on Robotics and Automation (ICRA), 2024 | - |
| dc.identifier.issn | 1050-4729 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/344215 | - |
| dc.language | eng | - |
| dc.publisher | IEEE Xplore | - |
| dc.relation.ispartof | IEEE International Conference on Robotics and Automation (ICRA) | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Policy optimization by looking ahead for model-based offline reinforcement learning | - |
| dc.type | Article | - |
| dc.identifier.issnl | 1050-4729 | - |