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matd3

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Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (including attention mechanisms) with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.

  • Updated May 19, 2026
  • Python

Multi-agent reinforcement learning framework for Unity environments. Implements MAPPO, MASAC, MATD3, and MADDPG with comprehensive evaluation tools. Features sample-efficient training, competitive analysis, and pre-trained models achieving great performance in Tennis and Soccer environments.

  • Updated May 30, 2025
  • Python

Official implementation of "Edge-Driven Multi-Agent Systems for Decentralized Stability in Autonomous Smart Grids." Featuring MATD3 reinforcement learning, 6G-enabled URLLC latency benchmarks, and OpenDSS-G power flow simulations for 35% grid resilience.

  • Updated Mar 20, 2026
  • Jupyter Notebook

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