Skip to content
#

masac

Star

Here are 2 public repositories matching this topic...

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

Star 29

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

caching reinforcement-learning uav deep-reinforcement-learning ddpg collaborative-learning edge-computing ppo td3 multi-agent-reinforcement-learning maddpg soft-actor-critic mobile-edge-computing mappo hybrid-optimization-methods multi-uav matd3 mobile-edge-computing-networks masac gdsf-cache
  • Updated Nov 25, 2025
  • Python

legalaspro / unity_multiagent_rl

Star 9

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

Improve this page

Add a description, image, and links to the masac topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the masac topic, visit your repo's landing page and select "manage topics."

Learn more