The DFG project "Simulation-based Optimization using Differentiable Agents (SODA)" by Dr. Philipp Andelfinger has been granted.

The goal of the project is to design and assess methods to to enable efficient gradient-based optimization for a broad range of agent-based simulation models using automatic differentiation techniques. The methods will be demonstrated and evaluated on optimization and calibration problems from the domains of road traffic and cell biology.

We thank the reviewers and the DFG for their time and for supporting this exciting research endeavor.


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