Multi-agent RL for wastewater treatment plant control (BSM2/Simulink) — MSc Thesis
AeroRider: MAPPO/CTDE multi-agent RL for drone-and-rider delivery dispatch. Built-in FFD/BFD/GA/PSO baselines, 3 scale presets, collision avoidance, full pytest suite.
État de l'art du Multi-Agent RL avec RLlib (Ray 2.56, new API stack) : 13 pages en français, 6 exemples exécutés, 3 expériences mesurées.
Cooperative multi-agent controller for Pokémon Showdown multi battles with CTDE training, intent exchange, benchmarks, and replay analysis.
Reproducible multi-agent AI lab with matched-seed arenas, honest robustness audits, CTDE and PPO.
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.
Multi-Agent Reinforcement Learning for Adaptive TCP congestion control
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