Interaction-driven Markov games for decentralized multiagent planning under uncertainty

@inproceedings{Spaan2008InteractiondrivenMG,
  title={Interaction-driven Markov games for decentralized multiagent planning under uncertainty},
  author={Matthijs T. J. Spaan and Francisco S. Melo},
  booktitle={AAMAS},
  year={2008}
}
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problems in which interaction among agents is a local phenomenon. To this purpose, we explicitly distinguish between situations in which agents should interact and situations in which they can afford to act independently. The agents are coupled through the joint rewards and joint transitions in the states in which they… CONTINUE READING
Highly Cited
This paper has 92 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 55 extracted citations

Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems

IEEE Transactions on Cybernetics • 2015
View 6 Excerpts
Highly Influenced

Coordinated learning by exploiting sparse interaction in multiagent systems

Concurrency and Computation: Practice and Experience • 2014
View 5 Excerpts
Highly Influenced

Coordinated Learning for Loosely Coupled Agents with Sparse Interactions

Australasian Conference on Artificial Intelligence • 2011
View 3 Excerpts
Highly Influenced

92 Citations

01020'10'13'16'19
Citations per Year
Semantic Scholar estimates that this publication has 92 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 22 references

The complexity of decentralized control of Markov decision processes

D. Bernstein, S. Zilberstein, N. Immerman
Mathematics of Operations Research, 27(4):819–840, • 2002
View 12 Excerpts
Highly Influenced

Neuro-dynamic programming

Optimization and neural computation series • 1996
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…