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masac

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Project-Group-BTP / Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization

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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.

caching reinforcement-learning uav deep-reinforcement-learning attention-mechanism edge-computing multi-agent-reinforcement-learning maddpg mobile-edge-computing maac wireless-power-transfer mappo hybrid-optimization-methods multi-uav matd3 mobile-edge-computing-networks masac gdsf-cache multi-attention-actor-critic uav-power-transfer
  • Updated May 19, 2026
  • Python

legalaspro / unity_multiagent_rl

Star 13

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.

machine-learning reinforcement-learning ai deep-learning unity soccer pytorch multi-agent tennis competitive-intelligence collaborative-learning multi-agent-reinforcement-learning maddpg marl mappo matd3 masac
  • Updated May 30, 2025
  • Python

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