Travel Back To Move Forward: Retrospective Exploration and Evolving for Long Horizon Agents.

arXiv:2610.13058v1 Announce Type: new Abstract: Large language model agents increasingly operate in long-horizon environments where early mistakes can trigger cascading failures and trap agents in dead-end trajectories. Agents must therefore be able to proacti