TIGPO: Temporal Instance-Graph Policy Optimization for Long-Horizon LLM Agents
TIGPO is a new method for Long-Horizon LLM Agents designed to overcome limitations in current graph-based methods. It solves the problem of 'batch-local' learning by creating persistent memory through an Instance-Graph structure. This allows agents to connect past successes with current efforts, resulting in improved reliability and performance across complex tasks.