KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning

Develop a framework for resource-aware knowledge distillation in multi-agent environments. This allows large, expert MARL policies to be compressed into lightweight local policies for edge deployment.

Suggested repo: distill-marl

"Compress multi-agent experts into tiny edge agents."

Estimated effort: 70h