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Agentic Integrated Approach - #86
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tomsilver
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Mar 19, 2026
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LGTM! I'm excited about these results. Great work!
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Create integrated approach in
agentic_integrated_approach.py: a new policy synthesis method that combines LLM code generation with A* search through an agentic selection loop. Instead of generating a single policy, the LLM generates multiple candidate policy classes (default 7) with varying strategies (pure reactive, planning-heavy, and hybrid) each with direct access to an planner. Each candidate is scored by simulating an episode, and the best-performing policy is selected based on goal completion and search efficiency (A* node expansions).Create experiment script to test integrated approach on maze environment: adds experiment runners and comparison scripts with result logs and generated graphs across multiple seeds.
Here are the results: aggregate_results.txt