Strategically efficient exploration in competitive multi-agent reinforcement learningDownload PDFOpen Website

2021 (modified: 24 Apr 2023)UAI 2021Readers: Everyone
Abstract: High sample complexity remains a barrier to the application of reinforcement learning (RL), particularly in multi-agent systems. A large body of work has demonstrated that exploration mechanisms ba...
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