1 citations · 3 across the 6 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.MA2026
Bayesian Offline Multi-Agent Reinforcement Learning with Latent World Models
Xi Xiong, Lu Liu, Yiming Li +1
Model-based offline multi-agent reinforcement learning (MARL) provides a promising approach to multi-agent decision-making under partial observability, where the global state is un…
cs.MA2026
Offline Multi-Agent Reinforcement Learning with a Physics-Informed World Model for Cooperative Mixed Traffic Control
Lu Liu, Chi Xie, Xi Xiong
This study investigates cooperative control of connected and automated vehicles (CAVs) at partially observable highway bottlenecks in mixed traffic, aiming to mitigate congestion w…