Multi-agent RL for wastewater treatment plant control (BSM2/Simulink) — MSc Thesis
-
Updated
Jul 8, 2026 - Python
Multi-agent RL for wastewater treatment plant control (BSM2/Simulink) — MSc Thesis
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.
Cooperative multi-agent controller for Pokémon Showdown multi battles with CTDE training, intent exchange, benchmarks, and replay analysis.
Multi-Agent Reinforcement Learning for Adaptive TCP congestion control
Add a description, image, and links to the ctde topic page so that developers can more easily learn about it.
To associate your repository with the ctde topic, visit your repo's landing page and select "manage topics."