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cs.LG2019
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Yue Xu, Zengde Deng, Mengdi Wang +3
The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more c…
cs.LG2019★ 6 cited
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization
Hao Lu, Mengdi Wang
Joint replacement is the most common inpatient surgical treatment in the US. We investigate the clinical pathway optimization for knee replacement, which is a sequential decision p…