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Multi-Agent Reinforcement Learning

Topic: Multi-Agent RL

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Multiple Agents Learning

MARL for cooperative/competitive settings.

Types

Cooperative. Competitive. Mixed.

Methods

Centralized training. Decentralized execution. QMIX.

Applications

Games. Robot swarms. Traffic control.

Key Takeaways

  1. Multi-agent settings
  2. Centralized training
  3. QMIX for cooperation

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