AgenticRL: Agentic Reinforcement Learning with Self-Refinement for Complex UAV Navigation
AgenticRL, a multimodal closed loop framework in which role-specialized agents generate executable rewards, diagnose failures of the resulting policies, formulate targeted refinement instructions, and regenerate improved rewards is introduced.
Roohan Ahmed Khan, Yasheerah Yaqoot, A. Habel et al.
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