5 citations · 11 across the 9 of their papers we have counts for
6 papers
Multi-modal Learning based Prediction for Disease
Yaran Chen, Xueyu Chen, Yu Han +4
Non alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, which can be predicted accurately to prevent advanced fibrosis and cirrhosis. While, a…
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
Real-world games, which concern imperfect information, multiple players, and simultaneous moves, are less frequently discussed in the existing literature of game theory. While rein…
Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving
Ding Li, Qichao Zhang, Zhongpu Xia +4
Recently, anchor-based trajectory prediction methods have shown promising performance, which directly selects a final set of anchors as future intents in the spatio-temporal couple…
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Guangzheng Hu, Haoran Li, Shasha Liu +3
Multi-agent reinforcement learning (MARL) has achieved remarkable success in various challenging problems. Meanwhile, more and more benchmarks have emerged and provided some standa…
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
Yupeng Zheng, Chengliang Zhong, Pengfei Li +8
Self-supervised depth estimation draws a lot of attention recently as it can promote the 3D sensing capabilities of self-driving vehicles. However, it intrinsically relies upon the…
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
Communication-based multi-agent reinforcement learning (MARL) provides information exchange between agents, which promotes the cooperation. However, existing methods cannot perform…