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Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation
[article]
2020
arXiv
pre-print
Many complex real-world problems, such as climate change mitigation, are intertwined with human social factors. Climate change mitigation, a social dilemma made difficult by the inherent complexities of human behavior, has an impact at a global scale. We propose applying multi-agent reinforcement learning (MARL) in this setting to develop intelligent agents that can influence the social factors at play in climate change mitigation. There are ethical, practical, and technical challenges that
arXiv:2002.05147v1
fatcat:mvafm3piezheldvksszmbe7nzm