OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...
This is the up-to-date official implementation of KVCOMM in the paper, KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems. KVCOMM is a novel adaptive ...
Abstract: This paper investigates the adaptive tracking control problem for nonlinear multi-agent systems operating under simultaneous input saturation and output performance constraints. To address ...
Abstract: The increase in environmental pollution is largely attributed to inadequate waste management. A problematic situation occurs when categorical waste is mixed during the initial stages of ...
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