• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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  • Chinese Science Citation Database
Volume 27 Issue 6
Dec.  2014
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Article Contents
Journal of Southwest Jiaotong University  > 2014  >  27(6): 1032-1044.
MA Lei, ZHANG Wenxu, DAI Chaohua. A Review of Developments in Reinforcement Learning for Multi-robot Systems[J]. Journal of Southwest Jiaotong University, 2014, 27(6): 1032-1044. doi: 10.3969/j.issn.0258-2724.2014.06.015
Citation: MA Lei, ZHANG Wenxu, DAI Chaohua. A Review of Developments in Reinforcement Learning for Multi-robot Systems[J]. Journal of Southwest Jiaotong University, 2014, 27(6): 1032-1044. doi: 10.3969/j.issn.0258-2724.2014.06.015
shu

A Review of Developments in Reinforcement Learning for Multi-robot Systems

doi: 10.3969/j.issn.0258-2724.2014.06.015
  • Received Date: 28 May 2014
  • Publish Date: 25 Dec 2014
    Abstract
  • Reinforcement learning (RL) is an effective mean for multi-robot systems to adapt to complex and uncertain environments. It is considered as one of the key technologies in designing intelligent systems. Based on the basic ideas and theoretical framework of reinforcement learning, main challenges such as partial observation, computational complexity and convergence were focused. The state of the art and difficulties were summarized in terms of communication issues, cooperative learning, credit assignment and interpretability. Applications in path planning and obstacle avoidance, unmanned aerial vehicles, robot football, the multi-robot pursuit-evasion problem, etc., were introduced. Finally, the frontier technologies such as qualitative RL, fractal RL and information fusion RL, were discussed to track its future development.

     

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