Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
cs.LG, cs.AI
Submitted: 2026-02-09
Updated: 2026-09-27
Code: https://github.com/langfengQ/DrMAS
Terminology
Sources
- GPT-4 Technical Report
- Qwen2.5-VL Technical Report
- End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
- Agentic Reinforced Policy Optimization
- AgentOCR: Reimagining Agent History via Optical Self-Compression
- AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
- The Llama 3 Herd of Models
- Measuring Mathematical Problem Solving With the MATH Dataset
- Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
- Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
- OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
- VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
- In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
- DeepSeek-V3 Technical Report
- SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
- LLM Collaboration With Multi-Agent Reinforcement Learning
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