An Introduction to Multi-Agent Reinforcement Learning - MATLAB
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    An Introduction to Multi-Agent Reinforcement Learning

    From the series: Reinforcement Learning

    Learn what multi-agent reinforcement learning is and some of the challenges it faces and overcomes.

    You will also learn what an agent is and how multi-agent systems can be both cooperative and adversarial. Be walked through a grid world example to highlight some of the benefits of both decentralized and centralized reinforcement learning architectures.

    Published: 13 Jul 2022

    Learn More

    Try MATLAB Example: Train Multiple Agents for Area Coverage
    Read paper: Multi-agent reinforcement learning: An overview
    Read paper: Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents
    Read paper: Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

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    Up Next:

    Compare model-free and model-based reinforcement learning approaches and gain a better understanding of which method to use depending on the situation.

    Why Choose Model-Based ?

    View full series (7 Videos)

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