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Agentic RL agents can learn to efficiently manage context and subtasks across multiple sessions by estimating the marginal contribution of each session, outperforming naive advantage broadcasting.
FactGuard's agentic framework substantially boosts video misinformation detection by strategically using external tools and reinforcement learning to overcome the inherent limitations of relying solely on internal MLLM reasoning.