Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
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