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Storage-scalable knowledge-base reuse quantization (SSKBQ) is proposed, which reuses a compact set of KBs across multiple residual refinement stages and thereby decouples the number of transmission stages from the number of maintained KBs.
A novel method named AEQMIX is proposed, which integrates trajectory entropy maximization into QMIX, an advanced Multi-Agent Reinforcement Learning (MARL) method, to encourage efficient exploration in multi-UAV Cooperative Target Search.
This paper analyzes the factors affecting communication interactions between UAVs and proposes a bidding-based grouping method to eliminate ineffective communication interactions, and introduces a network simplification algorithm based on reducing the number of triangular network topologies to optimize the communicatio...
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