A comparison of PSO and Reinforcement Learning for multi-robot obstacle avoidance

@article{Mario2013ACO,
  title={A comparison of PSO and Reinforcement Learning for multi-robot obstacle avoidance},
  author={Ezequiel Di Mario and Zeynab Talebpour and Alcherio Martinoli},
  journal={2013 IEEE Congress on Evolutionary Computation},
  year={2013},
  pages={149-156}
}
The design of high-performing robotic controllers constitutes an example of expensive optimization in uncertain environments due to the often large parameter space and noisy performance metrics. There are several evaluative techniques that can be employed for on-line controller design. Adequate benchmarks help in the choice of the right algorithm in terms of final performance and evaluation time. In this paper, we use multi-robot obstacle avoidance as a benchmark to compare two different… CONTINUE READING
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and M

  • B. Huang, G. Cao
  • Guo, “Reinforcement Learning Neural Network to…
  • 2005
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