Agentic GRPO Internship Project
What it is
A lightweight evaluation framework for long-horizon tool-using agents that focuses on reward design. It simulates complex tool-use trajectories and uses PRM-Lite process rewards to distinguish between high-quality and low-quality agent behaviors that might otherwise produce the same final answer.
The problem it solves
Outcome-only rewards fail to distinguish between a correct final answer achieved through efficient tool use versus one achieved through repetitive or malformed actions.
What you could use it for
- Evaluating how well an agent handles multi-step math word problems using a calculator tool.
- Comparing outcome-only rewards vs. process-aware rewards for tool-calling trajectories.
- Analyzing and categorizing specific agent failure modes (e.g., repetitive calls, malformed JSON actions).
- Generating automated reports and SVG charts for agent performance and reward analysis.
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.