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Reinforcing the role of competition platforms
The RangL project encourages the wider uptake of reinforcement learning by supporting a cloud-native platform that hosts industrially focused sequential decision problems. In this opinion piece, members of the RangL team make the case for the potential of competition platforms to facilitate collabor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369229/ https://www.ncbi.nlm.nih.gov/pubmed/34430932 http://dx.doi.org/10.1016/j.patter.2021.100326 |
Sumario: | The RangL project encourages the wider uptake of reinforcement learning by supporting a cloud-native platform that hosts industrially focused sequential decision problems. In this opinion piece, members of the RangL team make the case for the potential of competition platforms to facilitate collaboration between academia and industry, and to drive progress in real-world applications of reinforcement learning, over the coming years. |
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