Autonomous Navigation in Dynamic Environments with Reinforcement Learning and Heuristic

@article{Costa2010AutonomousNI,
  title={Autonomous Navigation in Dynamic Environments with Reinforcement Learning and Heuristic},
  author={Elizabeth Duane S. Costa and Maury M. Gouvea},
  journal={2010 Ninth International Conference on Machine Learning and Applications},
  year={2010},
  pages={37-42}
}
Researchers have created machines which operate autonomously in complex and changing environments. An important problem that has been widely studied is that of autonomous navigation systems, through which attempts have been made to create mechanisms with their own decision making in complex environments. Ideally, an autonomous navigation agent must have an ability to learn while working in its environment. This acquisition of knowledge may be based on a history of actions taken to make… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

Using Heuristics to accelerate Reinforcement Learning

  • R.A.C. Bianchi
  • PhD thesis, University of São Paulo,
  • 2004
Highly Influential
4 Excerpts

The moving peaks benchmark.

  • J. Branke
  • http://www.aifb. uni-karlsruhe.de/ ̃jbr/MovPeaks,
  • 2009
1 Excerpt

Markov decision process: a tutorial

  • J. Pellegrini, J. Wainer
  • Journal of Theoretical and Applied Informatics…
  • 2007
1 Excerpt

Reinforcement learning for obstacle avoidance in image based robotic autonomous, non-structured, navigation

  • L. T. Hoffman
  • Master’s thesis, National Institute for Space…
  • 2006
3 Excerpts

An evolutionary proposal for intelligent control in robots autonomous navigation

  • R. R. Cazangi
  • Master’s thesis, State University of Campinas, S…
  • 2004
2 Excerpts

Navigation of mobile robots using reinforcement learning and fuzzy logic

  • G. Faria, R. F. Romero
  • Journal of Control and Automation (SBA), .
  • 2002
2 Excerpts

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