NEUP CINRII-25-34192: Optimizing Hybrid Energy Storage Management for Advanced Reactor-Powered Maritime Vessels via Hierarchical Multi-Agent Reinforcement Learning

The overall objective of this Phase II project is to develop optimal operation and planning strategies for small modular reactor or microreactor based maritime vessels equipped with a hybrid energy storage system by utilizing multi-agent deep reinforcement learning over graph for hierarchical control.

Additional Info

Field	Value
Awarded Institution	University of Texas at Dallas
PI	Jie Zhang