Signal
Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
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Overview
arXiv:2512.23738v1 Announce Type: cross Abstract: LLM-based agents are deployed in safety-critical applications, yet current guardrail systems fail to prevent violations of temporal safety policies, requirements that govern the ordering and sequencing of agent actions.
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3
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3
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Enforcing Temporal Constraints for LLM Agents
arXiv cs.LG and cs.AI RSS · arxiv.org · 2026-01-01 05:00 UTC
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