An Introduction to Multi Agent Reinforcement Learning

Learn what multiagent reinforcement learning is and some of the challenges it faces and overcomes. You will also learn what an agent is and how multiagent 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: Multiagent reinforcement learning: An overview: Read paper: MultiAgent Reinforcement Learning: Independent vs. Cooperative Agents: Read paper: Dealing with NonStationarity in MultiAgent 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.