Adaptive Orchestration with Cross-Episode Memory for Dynamic LLM-based Agent Pools
Multi-agent systems are moving toward open ecosystems in which agents may appear, change, or disappear at runtime. Orchestra-tors must therefore discover relevant black-box specialists from large pools and learn how to coordinate them across repeated tasks. Existing methods typically either maintain cross-episode memor...