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Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation
Qinyun Zhu,
Jae Oh
Department of Electrical Engineering & Computer Science
Research output
:
Chapter in Book/Entry/Poem
›
Conference contribution
5
Scopus citations
Overview
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Dive into the research topics of 'Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation'. Together they form a unique fingerprint.
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Business & Economics
Reinforcement Learning
100%
Robotics
91%
Robot
90%
Fairness
86%
Resource Allocation
69%
Resources
19%
Learning Networks
12%
Coordination Games
5%
Leverage
3%
Engineering & Materials Science
Reinforcement learning
78%
Resource allocation
66%
Robotics
59%
Robots
50%
Multipurpose robots
6%