2 papers
cs.LG2026
Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning
Tommaso Marzi, Cesare Alippi, Andrea Cini
Decentralized Multi-Agent Reinforcement Learning (MARL) methods allow for learning scalable multi-agent policies, but suffer from partial observability and induced non-stationarity…
cs.LG2024
Feudal Graph Reinforcement Learning
Tommaso Marzi, Arshjot Khehra, Andrea Cini +1
Graph-based representations and message-passing modular policies constitute prominent approaches to tackling composable control problems in reinforcement learning (RL). However, as…