Chongjie Zhang

QPLEX: Duplex Dueling Multi-Agent Q-Learning

2020 · arXiv (Cornell University)

We explore value-based multi-agent reinforcement learning (MARL) in the popular paradigm of centralized training with decentralized execution (CTDE). CTDE has an important concept, Individual-Global-Max (IGM) principle, which requires the consistency between joint and local action …

MOORe: Model-based Offline-to-Online Reinforcement Learning

2022 · arXiv (Cornell University)

With the success of offline reinforcement learning (RL), offline trained RL policies have the potential to be further improved when deployed online. A smooth transfer of the policy matters in safe real-world deployment. Besides, fast …

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective

2025

World models have recently attracted growing interest in Multi-Agent Reinforcement Learning (MARL) due to their ability to improve sample efficiency for policy learning. However, accurately modeling environments in MARL is challenging due to the exponentially …