Knowledge-Based Multiagent Credit Assignment: A Study on Task Type and Critic Information

@article{Harati2007KnowledgeBasedMC,
  title={Knowledge-Based Multiagent Credit Assignment: A Study on Task Type and Critic Information},
  author={Ahad Harati and Majid Nili Ahmadabadi and Babak Nadjar Araabi},
  journal={IEEE Systems Journal},
  year={2007},
  volume={1},
  pages={55-67}
}
Multiagent credit assignment (MCA) is one of the major problems in the realization of multiagent reinforcement learning. Since the environment usually is not intelligent enough to qualify individual agents in a cooperative team, it is very important to develop some methods for assigning individual agents' credits when just a single team reinforcement is available. MCA cannot be solved in general cases, using a single technique. Therefore, our goal in this research is first to present a new view… CONTINUE READING
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