AI Research Paper 1/100 in urdu/hindi | Enhancing Multi-Agent Systems via Reinforcement Learning
Автор: Decode AI with Arsalan
Загружено: 2025-10-29
Просмотров: 29
Описание:
In this video, we explore a cutting-edge AI research paper titled:
“Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy” (2025).
This paper introduces a powerful hybrid system that combines:
✅ Reinforcement Learning (RL)
✅ Multi-Agent Systems (MAS)
✅ Large Language Models (LLMs) as planners
✅ Graph-based policies for decision-making
💡 What you will learn:
• How LLMs guide multiple cooperating AI agents
• Graph-based policy for complex task coordination
• Improvements over traditional MARL methods
• Real-world use cases in robotics, automation, and simulations
If you are into AI, Machine Learning, or Multi-Agent Systems — this video is a must watch!
📌 Original Paper Link (arXiv): https://arxiv.org/pdf/2503.10049
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📣 Comment your thoughts: Should AI agents be fully autonomous?
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