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Research Topics and Applications

Our main research interests are in designing control and optimization algorithms for large complex systems. Topics we investigate include:

  • Learning and coordination in multiagent systems
  • Optimization in large noisy systems
  • Adaptive control in complex systems
  • Distributed reinforcement learning
  • Evolutionary algorithms for control and optimization
  • Multi-classifier systems and clustering ensembles

Current and past applications of this work include:

  • Controlling multiple robots and multiple unmanned aerial vehicles
  • Optimizing micro sensor placement
  • Managing air traffic flow
  • Coordinating a constellation of satellites
  • Coordinating a large number of micro/nano devices
  • Routing data/jobs over a network