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AgenticRL: Agentic Reinforcement Learning with Self-Refinement for Complex UAV Navigation
Deep reinforcement learning enables autonomous robots to learn complex navigation tasks, but still relies heavily on time consuming manual reward design and fine tuning. Existing automated reward generation and refinement methods reduce this effort, yet often lack task-level behavioral diagnosis for
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