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Introduction to Multi-Agent 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. Watch our full video series about Reinforcement Learning:    • 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: https://bit.ly/3Ix1Kf7 - Read paper: Multi-agent reinforcement learning: An overview: https://bit.ly/3nVrNmN - Read paper: Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents: https://bit.ly/3nVK7My - Read paper: Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning: https://bit.ly/3v7LxaT Check out the individual videos in the series: • What Is Reinforcement Learning?:    • What Is Reinforcement Learning?   • Understanding the Environment and Rewards:    • Understanding Reinforcement Learning ...   • Policies and Learning Algorithms:    • Reinforcement Learning Policies and L...   • The Walking Robot Problem:    • Solving the Walking Robot Problem wit...   • Overcoming the Practical Challenges:    • Overcoming the Practical Challenges w...   • An Introduction to Multi-Agent Reinforcement Learning:    • Introduction to Multi-Agent Reinforce...   • Why Choose Model-Based Reinforcement Learning?:    • Why Choose Model-Based Reinforcement ...   -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.