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. Watch our full video series about Reinforcement Learning: By the end of this series, you’ll be better prepared to answer questions like: - What is reinforcement learning and why should I consider it when solving my control problem? - How do I set up and solve the reinforcement learning problem? - What are some of the benefits and drawbacks of reinforcement learning compared to a traditional controls approach? Artificial intelligence, machine learning, deep neural networks. These are terms that can spark your imagination of a future where robots are thinking and evolving creatures. Check out these other resources: - 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: Check out the individual videos in the series: • What Is Reinforcement Learning?: • Understanding the Environment and Rewards: • Policies and Learning Algorithms: • The Walking Robot Problem: • Overcoming the Practical Challenges: • An Introduction to Multi-Agent Reinforcement Learning: • Why Choose Model-Based Reinforcement Learning?: -------------------------------------------------------------------------------------------------------- Get a free product trial: Learn more about MATLAB: Learn more about Simulink: See what's new in MATLAB and Simulink: © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.