8 citations · 10 across the 4 of their papers we have counts for
4 papers
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
Liangzhou Wang, Kaiwen Zhu, Fengming Zhu +6
Reaching consensus is key to multi-agent coordination. To accomplish a cooperative task, agents need to coherently select optimal joint actions to maximize the team reward. However…
Computing Universal Plans for Partially Observable Multi-Agent Routing Using Answer Set Programming
Fengming Zhu, Fangzhen Lin
Multi-agent routing problems have gained significant attention recently due to their wide range of industrial applications, ranging from logistics warehouse automation to indoor se…
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang, Wenze Chen, Longfei Zhang +6
Deep reinforcement learning (DRL) has achieved super-human performance on complex video games (e.g., StarCraft II and Dota II). However, current DRL systems still suffer from chall…
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Yonggen Ling, Linchao Bao, Zequn Jie +6
Combining cameras and inertial measurement units (IMUs) has been proven effective in motion tracking, as these two sensing modalities offer complementary characteristics that are s…