RAO uses RL to train recursive agents that delegate sub-tasks to self-copies, yielding better training efficiency, generalization to harder tasks, scaling beyond context windows, and lower wall-clock time.
22 Oolong-Real Recursive Agent Action Space Available Actions (python functions): Pre-loaded variable: - context (str): The full text context to analyze
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Recursive Agent Optimization
RAO uses RL to train recursive agents that delegate sub-tasks to self-copies, yielding better training efficiency, generalization to harder tasks, scaling beyond context windows, and lower wall-clock time.