NLPJCL/SearchAgent-Zero

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

[ICLR 2026] Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL

ZeroSearch: Incentivize the Search Capability of LLMs without Searching

🚀 Ultra Recipe for Training Long-Horizon Search Agents - matching frontier AI's search capability with a 20B model + stateful harness

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

The Level-Navi Agent, a framework that requires no training and utilizes large language models for deep query understanding and precise search operations. The repo includes benchmarks, datasets, and tools for assessing LLM performance in web searches

SSRL: Self-Search Reinforcement Learning

[COLM 2026] A Scalable Agentic RL Training Framework for Deep Research Agent