An 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. Related 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: -------------------------------------------------------------------------------------------------------- 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.