Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning

Implement a graph-based hierarchical RL agent designed to evolve thermodynamic cycle structures. This provides a platform for engineers to discover new energy-efficient cycle architectures.

Suggested repo: ThermoGraphRL

"Hierarchical reinforcement learning for automated energy system co-design."

Estimated effort: 100h