Skip to content
#

elevator-scheduling

Star

Here are 2 public repositories matching this topic...

kumarpiyushraj / Smart-Elevator-Scheduling

Star 0

Intelligent elevator scheduling using QR-DQN with Dueling Networks and Prioritized Experience Replay. Achieves ~38% improvement over SCAN baseline. Published at IEEE AICAPS 2026. DOI: 10.1109/AICAPS68631.2026.11452978

python reinforcement-learning simulation pytorch deep-q-network dueling-network-architecture quantile-regression prioritized-experience-replay elevator-scheduling distributional-rl ieee-published
  • Updated Apr 26, 2026
  • Jupyter Notebook

kumarpiyushraj / Deep-MARL-Elevator-QRDQN-PyTorch

Star 0

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 elevator-scheduling 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 elevator-scheduling topic, visit your repo's landing page and select "manage topics."

Learn more