36 citations · 125 across the 10 of their papers we have counts for
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cs.LG2018★ 15 cited
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan, Clark Zhang, Daniel D. Lee +2
In this paper, we explore using deep reinforcement learning for problems with multiple agents. Most existing methods for deep multi-agent reinforcement learning consider only a sma…
cs.RO2018
Learning Sample-Efficient Target Reaching for Mobile Robots
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
In this paper, we propose a novel architecture and a self-supervised policy gradient algorithm, which employs unsupervised auxiliary tasks to enable a mobile robot to learn how to…