OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents

OLIVIA is a novel inference-time action adaptation framework designed for ReAct-style LLM agents to enhance decision-making in sequential tasks. It offers explicit decision layering for scoring candidate actions and online adaptation, addressing the limitations of indirect context manipulation in current methods.