Adopting animal concepts in hierarchical reinforcement learning and control of intelligent agents

@article{Kadlecek2008AdoptingAC,
  title={Adopting animal concepts in hierarchical reinforcement learning and control of intelligent agents},
  author={David Kadlecek and Pavel Nahodil},
  journal={2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics},
  year={2008},
  pages={924-929}
}
This research integrates rigorous methods of reinforcement learning (RL) and control engineering with a behavioral (ethology) approach to the agent technology. The main outcome is a hybrid architecture for intelligent autonomous agents targeted to the Artificial Life like environments. The architecture adopts several biology concepts and shows that they can provide robust solutions to some areas. The resulting agents perform from primitive behaviors, simple goal directed behaviors, to complex… CONTINUE READING
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