Adaptive Critics and the Basal Ganglia

@inproceedings{Barto1995AdaptiveCA,
  title={Adaptive Critics and the Basal Ganglia},
  author={Andrew G. Barto},
  year={1995}
}
One of the most active areas of research in artificial intelligence is the study of learning methods by which “embedded agents” can improve performance while acting in complex dynamic environments. An agent, or decision maker, is embedded in an environment when it receives information from, and acts on, that environment in an ongoing closed-loop interaction. An embedded agent has to make decisions under time pressure and uncertainty and has to learn without the help of an ever-present… CONTINUE READING
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