46 citations · 91 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.AI2017★ 46 cited
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Xiangyu Kong, Bo Xin, Fangchen Liu +1
Many tasks in artificial intelligence require the collaboration of multiple agents. We exam deep reinforcement learning for multi-agent domains. Recent research efforts often take…
cs.LG2017★ 22 cited
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, David Wipf
The iterations of many first-order algorithms, when applied to minimizing common regularized regression functions, often resemble neural network layers with pre-specified weights.…
cs.CV2017★ 1 cited
Collaborative Deep Reinforcement Learning for Joint Object Search
Xiangyu Kong, Bo Xin, Yizhou Wang +1
We examine the problem of joint top-down active search of multiple objects under interaction, e.g., person riding a bicycle, cups held by the table, etc.. Such objects under intera…