A survey of deep RL in system optimization finds that many published solutions lack strong baselines, reproducibility, and comparisons to random search, and proposes evaluation questions to address this.
Learning- based and data-driven tcp design for memory-constrained iot
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A View on Deep Reinforcement Learning in System Optimization
A survey of deep RL in system optimization finds that many published solutions lack strong baselines, reproducibility, and comparisons to random search, and proposes evaluation questions to address this.