1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/Multi-Agent Reinforcement Learning - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="O8lIVBfOR5"><a href="https://glosarix.com/en/glossary/multi-agent-reinforcement-learning-en/">Multi-Agent Reinforcement Learning</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/multi-agent-reinforcement-learning-en/embed/#?secret=O8lIVBfOR5" width="600" height="338" title="“Multi-Agent Reinforcement Learning” — Glosarix" data-secret="O8lIVBfOR5" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: Multi-Agent Reinforcement Learning (MARL) is an approach within reinforcement learning where multiple agents interact with each other and a shared environment. In this context, each agent makes decisions based on its own experience and the information received from other agents, introducing additional complexity into the learning process. Unlike traditional reinforcement learning, where a single […]