EP283: Aligning AI planners with tool capabilities

Title: Capability-Aligned Hierarchical Learning for Tool-Augmented LLMsSource: http://arxiv.org/abs/2606.09371v1Summary:This paper proposes Capability-Aligned Hierarchical Learning (CAHL), a novel framework that jointly optimizes high-level planning and low-level execution policies using reinforcement learning. It addresses the fundamental bottleneck of planner-executor misalignment, creating a more robust and foundational reasoning loop for tool-augmented agentic systems.