Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization

Build an RAG-agent training pipeline using Contribution Weighted Group Relative Policy Optimization. This will solve the credit assignment problem in search agents that query multiple sources before responding.

Suggested repo: searchTune

"Make your search agent smarter: reward the right sources, not just the answer."

Estimated effort: 60h