Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach

@inproceedings{Dobbe2017FullyDP,
  title={Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach},
  author={Roel Dobbe and David Fridovich-Keil and Claire J. Tomlin},
  booktitle={NIPS},
  year={2017}
}
Learning cooperative policies for multi-agent systems is often challenged by partial observability and a lack of coordination. In some settings, the structure of a problem allows a distributed solution with limited communication. Here, we consider a scenario where no communication is available, and instead we learn local policies for all agents that collectively mimic the solution to a centralized multi-agent static optimization problem. Our main contribution is an information theoretic… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 31 references

A Concise Introduction to Decentralized POMDPs

SpringerBriefs in Intelligent Systems • 2016
View 2 Excerpts

Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence

IEEE Transactions on Control of Network Systems • 2014
View 2 Excerpts

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