A Comprehensive Survey of Multiagent Reinforcement Learning

  title={A Comprehensive Survey of Multiagent Reinforcement Learning},
  author={Lucian Busoniu and Robert Babuska and Bart De Schutter},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)},
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in these domains makes them difficult to solve with preprogrammed agent behaviors. The agents must, instead, discover a solution on their own, using learning. A significant part of the research on multiagent learning concerns reinforcement learning techniques. This paper provides a comprehensive survey of… CONTINUE READING
Highly Influential
This paper has highly influenced 47 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 826 citations. REVIEW CITATIONS
421 Citations
131 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 421 extracted citations

827 Citations

Citations per Year
Semantic Scholar estimates that this publication has 827 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…