SEARL uses a tool graph memory that integrates planning and execution to densify rewards and improve generalization in self-evolving agents on knowledge and math tasks.
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SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
SEARL uses a tool graph memory that integrates planning and execution to densify rewards and improve generalization in self-evolving agents on knowledge and math tasks.