Deep reinforcement learning in World-Earth system models to discover 
sustainable management strategies

Strnad, Felix M.; Barfuss, Wolfram; Donges, Jonathan F.; Heitzig, Jobst

doi:10.1063/1.5124673

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Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

Strnad, F. M., Barfuss, W., Donges, J. F., & Heitzig, J. (2019). Deep reinforcement learning in World-Earth system models to discover sustainable management strategies. Chaos, 29(12): 123122. doi:10.1063/1.5124673.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-A6E3-E Version Permalink: https://hdl.handle.net/21.11116/0000-0006-A6E4-D

Genre: Journal Article

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Strnad, Felix M., Author
Barfuss, Wolfram¹, Author
Donges, Jonathan F., Author
Heitzig, Jobst, Author

Affiliations:
1Max Planck Institute for Mathematics in the Sciences, Max Planck Society, ou_3039308

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Dates: Date issued: 2019

Publication Status: Issued

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Identifiers: DOI: 10.1063/1.5124673
Other: 84796

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Title: Chaos

Source Genre: Journal

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Pages: - Volume / Issue: 29 (12) Sequence Number: 123122 Start / End Page: - Identifier: ISSN: 1089-7682