A Theory of Average-Case Compilability in Knowledge Representation

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A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks (2015, neutral): “[38].”
A review of cooperative multi-agent deep reinforcement learning (2019, background): “[162] considers an online distributed resource allocation problem, such that each agent is a server and observes the information of its neighbors.”
Distributed Machine Learning in Coalition Environments: Overview of Techniques (2018, background): “The empirical results obtained in [37] underline the suitability of multi-agent learning for resource allocation in a large distributed system.”
Self-organization for coordinating decentralized reinforcement learning (2010, background): “Example applications include packet routing [2, 3], sensor networks [4], distributed resource/task allocation [5], peer-to-peer information retrieval [6], and elevator scheduling [7].”