Reinforcement Learning · advanced · concept 127 of 176
Multi-Agent Reinforcement Learning
Multiple agents learning simultaneously in a shared environment, they can cooperate, compete, or both. Adds complexity: each agent's optimal strategy depends on what others do.
Key terms
Nash equilibriumCooperativeCompetitiveSelf-play
Learn these first
Videos
▶ Multi-Agent Hide and Seek ↗
OpenAI · YouTube
▶ Multi Agent Systems Explained: How AI Agents & LLMs Work Together ↗
IBM Technology · YouTube
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Introduction · Hugging Face ↗
Hugging Face
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