We merge recently developed tools from machine learning and nonlinear dynamics to construct and evaluate near-optimal policies in multi-species systems. Specifically, a non-parametric model for the dynamics is estimated from time series data using Gaussian process-based dynamic modeling. A policy is then derived from the inferred dynamics using a temporal difference learning algorithm.
Two tutorials are available. Run edp_tuto_1.mlx for optimal control of a 2-species system and edp_tuto_2.mlx for optimal control of a 2-species system given data on the first species only.
- Add new control rules
- Solve compatibility issues
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.