Improving LLM Collaboration via Multi-Agent Preference Learning
cs.AI, cs.MA
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
- Qwen Technical Report
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- DeepSeek-V3 Technical Report
- RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
- Direct Language Model Alignment from Online AI Feedback
- MARFT: Multi-Agent Reinforcement Fine-Tuning
- Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
- WebGPT: Browser-assisted question-answering with human feedback
- GPT-4 Technical Report
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- MARTI-MARS$^2$: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation
- Fine-Tuning Language Models from Human Preferences
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