most citedCooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2022★ 1 cited

Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach

Xincao Xu, Kai Liu, Penglin Dai +3

Cooperative sensing and heterogeneous information fusion are critical to realize vehicular cyber-physical systems (VCPSs). This paper makes the first attempt to quantitatively meas…

cs.MA2022

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Kai Liu, Tianxian Zhang, Lingjiang Kong

We explore value decomposition solutions for multi-agent deep reinforcement learning in the popular paradigm of centralized training with decentralized execution(CTDE). As the reco…