4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao, Youpeng Zhao, Weixun Wang +5
Multi-agent reinforcement learning is difficult to be applied in practice, which is partially due to the gap between the simulated and real-world scenarios. One reason for the gap…
cs.MA2022★ 1 cited
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning
Jian Zhao, Xunhan Hu, Mingyu Yang +3
Due to the partial observability and communication constraints in many multi-agent reinforcement learning (MARL) tasks, centralized training with decentralized execution (CTDE) has…
cs.CV2022★ 4 cited
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
Zeyu Fang, Jian Zhao, Mingyu Yang +3
Active Multi-Object Tracking (AMOT) is a task where cameras are controlled by a centralized system to adjust their poses automatically and collaboratively so as to maximize the cov…