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Southern University of Science and Technology, City University of Hong Kong
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Frontier LLMs can be trained to selectively ignore unreliable external guidance, a capability crucial for robust agentic behavior beyond simple task accuracy.
Offline data from outdated environments can still yield optimal policies when integrated correctly, as shown by our new hybrid reinforcement learning framework.
