Multi agent reinforcement learning: PyTorch implementations of several algorithms for Multi Agent domains
-
Updated
Aug 13, 2024 - Python
#
decentralized-execution
Here are 2 public repositories matching this topic...
Multi-agent elevator dispatch with QR-DQN and CTDE (Centralised Training, Decentralised Execution) in PyTorch. Three cooperative elevators trained with dueling networks, prioritised replay, and a centralised critic — beating ETA-Dispatch by 27% wait and 9.6% energy across 3,500 episodes on a non-uniform 10-floor traffic environment.
python reinforcement-learning deep-reinforcement-learning pytorch deep-q-network prioritized-replay quantile-regression dueling-dqn multi-agent-reinforcement-learning qr-dqn marl elevator-scheduling cooperative-ai decentralized-execution ctde
-
Updated
Apr 26, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the decentralized-execution topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the decentralized-execution topic, visit your repo's landing page and select "manage topics."