Differentiable ABMs with StochasticAD.jl or other approaches · JuliaDynamics/Agents.jl#175

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example-integrationhelp wanted

描述

EDIT: The issue title has been edited to showcase that there is now a formal solution on how to differentiate ABMs, see this comment. Implementing a model that integrates with this as one of our "Integration Examples" would be lovely. :)

Perhaps we can even provide some function(s) that make integration easy, as we did when we were writing the integration example with CellListMap.jl (#659 )

I have tried to use Zygote.jl to differentiate some random and small ABMs. But I get many different errors. Are there data structures that are not supported by Zygote yet? A differentiable ABM would be amazing and allowing to solve many problems.

貢獻者指南

技術棧: 無
領域: datamachine learning
議題類型: feature
難度: 3
預計時間: 1-2 days
活動狀態: stale
清晰度: mostly clear
前置要求: JuliaDifferentiable programmingAgent based modeling
新手友善度: 35
研究方向: Explore the formal solution provided in the linked comment (https://github.com/JuliaDynamics/Agents.jl/issues/175#issuecomment 1282249051). Implement a new integration example for differentiable ABMs using StochasticAD.jl or other approaches. Follow the pattern of the existing CellListMap.jl integration example (issue #659). Provide functions that make integration easy, as suggested. Ensure the example is well documented and tested.