A latent Q-Barrier shield learns context, dynamics, and cost critic to enforce safety constraints at action level in in-context RL, with a conditional barrier-margin guarantee and benchmark gains.
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MACF learns dynamic ESG costs from point-in-time multimodal evidence to impose constraints on portfolio transitions, and MACF-X adapters reduce tail ESG budget pressure across optimization interfaces while keeping financial performance competitive.
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Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning
A latent Q-Barrier shield learns context, dynamics, and cost critic to enforce safety constraints at action level in in-context RL, with a conditional barrier-margin guarantee and benchmark gains.
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Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
MACF learns dynamic ESG costs from point-in-time multimodal evidence to impose constraints on portfolio transitions, and MACF-X adapters reduce tail ESG budget pressure across optimization interfaces while keeping financial performance competitive.