52 citations · 56 across the 3 of their papers we have counts for
3 papers
cs.MA2022★ 52 cited
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai, Weifan Li, Yuanheng Zhu +4
Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN that adopt centralized training with decentralized execution (CTDE) framework have shown promising results i…
cs.RO2021★ 2 cited
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
Deyu Yang, Hanbo Zhang, Xuguang Lan +1
Multi-goal reinforcement learning (RL) aims to qualify the agent to accomplish multi-goal tasks, which is of great importance in learning scalable robotic manipulation skills. Howe…
cs.CV2021★ 2 cited
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
Xun Tan, Xingyu Chen, Guowei Zhang +2
Point clouds and images could provide complementary information when representing 3D objects. Fusing the two kinds of data usually helps to improve the detection results. However,…