RLC 2024 - Posters and Hallways 5
TalkRL: The Reinforcement Learning Podcast
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Exploring Benchmark Impact and Decentralized Information Dissemination
This chapter explores the findings of a PhD student on the relationship between algorithm performance and benchmark similarities in reinforcement learning, emphasizing the need for better benchmarks. Additionally, advancements in decentralized cooperative information dissemination through multi-agent reinforcement learning are discussed, highlighting methods that enhance coverage in tactical network simulations.
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