Project Description

In this project, we will study the aspects of MARL with different forms of objectives (e.g., fairness functions, multiple QoE/QoS tradeoffs) and constraints to prove mathematical guarantees. Further, the developed algorithms can be applied in a wide range of problems including communication networks, social networks, transportation networks, and games. 

Start Date

Apr 2021 

Postdoc Qualifications

The postdoc must have a PhD in Electrical Engineering, Computer Science, Mathematics, Statistics, or related areas.

Co-Advisors

Vaneet Aggarwal, vaneet@purdue.edu, School of IE and ECE, https://web.ics.purdue.edu/~vaneet

Chris Brinton, cgb@purdue.edu, School of ECE, http://www.cbrinton.net/ 

References

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

Multi-Agent Determinantal Q-Learning

arxiv.org/pdf/1909.02940.pdf

https://arxiv.org/pdf/2003.05555.pdf