41. Beam Search for Agents

Mini-Project: Beam Search for Agent Solution Generation

A beam search agent that maintains the top-K most promising partial solutions at each step, expanding and scoring all candidates before pruning, then compares the result against a greedy baseline.

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Description

Beam Search for Agents maintains the top-K most promising partial solutions at each step (the "beam"), rather than exploring all possibilities or committing to a single path. At each step, all beams are expanded with possible next actions, scored, and only the top-K survive. This balances between exhaustive search (too expensive) and greedy search (too myopic).

How It Works

1. Start with K initial candidates
2. For each candidate, generate possible next steps
3. Score all candidates (existing + new steps)
4. Keep only the top-K
5. Repeat until solutions are complete

Diagram

flowchart TD
    A[Step 1: K Candidates] --> B[Expand Each]
    B --> C[Score All Options]
    C --> D[Keep Top-K]
    D --> E[Step 2: K Candidates]
    E --> F[Expand Each]
    F --> G[Score All]
    G --> H[Keep Top-K]
    H --> I[Final: Best Solution]

    style D fill:#FF9800,color:#fff
    style H fill:#FF9800,color:#fff
    style I fill:#4CAF50,color:#fff