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5/9/2026
A Survey of LLM-based Deep Search Agents Adaptive Path Planning via Weighted A* and Heuristic Rewards

A Survey of LLM-based Deep Search Agents Adaptive Path Planning via Weighted A* and Heuristic Rewards

Short summary

LLM-based agents decompose complex problems into multi-step solutions via planning. Weighted A* improves path planning by dynamically emphasizing heuristics, effective in large search spaces. Combining both enables agents to perform high-level reasoning while adapting to real-world constraints.

  • •LLM agents break problems into multi-step reasoning
  • •Weighted A* uses dynamic heuristic emphasis for better path selection
  • •Hybrid approach creates smarter, context-adaptive systems

Generated with AI, which can make mistakes.

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