LIU Changan, LIU Fei, LIU Chunyang, WU Hua. Multi-agent Reinforcement Learning Based on K-Means Algorithm[J]. Chinese Journal of Electronics, 2011, 20(3): 414-418.
Citation: LIU Changan, LIU Fei, LIU Chunyang, WU Hua. Multi-agent Reinforcement Learning Based on K-Means Algorithm[J]. Chinese Journal of Electronics, 2011, 20(3): 414-418.

Multi-agent Reinforcement Learning Based on K-Means Algorithm

  • Received Date: 2009-11-01
  • Rev Recd Date: 2011-01-01
  • Publish Date: 2011-07-25
  • To solve the curse of dimensionality and structure credit assignment in multi-agent reinforcement learning, a learning method based on K-Means is proposed in this paper. With this method, state space explosion is avoided by classifying states into different clusters using K-Means. The roles are dynamic assigned to agents and the corresponding set of characteristic behaviours is established by using K-Means algorithm. The credit assignment function is designed according to factors like the weight of roles. The experimental results of the multi-robot cooperation show that our scheme improves the team learning ability efficiently. Meanwhile, the cooperation efficiency can be enhanced successfully.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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