A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning
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DOI: 10.1109/access.2020.3011670
Abstract: Multi-agent deep reinforcement learning (MDRL) is an emerging research hotspot and application direction in the field of machine learning and artificial intelligence. MDRL covers many algorithms, rules and frameworks, it is currently researched in swarm… read more here.
Keywords: multi; reinforcement learning; multi agent; cooperative competitive ... See more keywords