Towards generating complex programs represented as node-trees with reinforcement learning
| Author: | Andreas Reich, Ruxandra LasowskiGND |
|---|---|
| DOI: | https://doi.org/10.48537/gdsj-nz68 |
| Parent Title (English): | The Upper-Rhine Artificial Intelligence Symposium, UR-AI 2021, Artificial Intelligence - Application in Life Sciences and Beyond, 27th October 2021, Kaiserslautern, Germany |
| Publisher: | Hochschule Kaiserslautern, University of Applied Sciences |
| Place of publication: | Kaiserslautern |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2021 |
| Release Date: | 2024/12/04 |
| Tag: | Neural program synthesis; Node-trees; Reinforcement learning; Sample injection; Supervised learning |
| First Page: | 205 |
| Last Page: | 211 |
| Open-Access-Status: | Open Access |
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| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |