Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts

@article{Schmidhuber2006DevelopmentalRO,
  title={Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts},
  author={J. Schmidhuber},
  journal={Connection Science},
  year={2006},
  volume={18},
  pages={173 - 187}
}
Even in the absence of external reward, babies and scientists and others explore their world. Using some sort of adaptive predictive world model, they improve their ability to answer questions such as what happens if I do this or that? They lose interest in both the predictable things and those predicted to remain unpredictable despite some effort. One can design curious robots that do the same. The author’s basic idea (1990, 1991) for doing so is a reinforcement learning (RL) controller is… Expand
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References

SHOWING 1-10 OF 125 REFERENCES
Introduction to developmental robotics
Exploring the predictable
A possibility for implementing curiosity and boredom in model-building neural controllers
Bootstrap learning of foundational representations
What's Interesting?
Neural Network Exploration Using Optimal Experiment Design
  • D. Cohn
  • Computer Science, Medicine
  • NIPS
  • 1993
The Discovery of Communication
Intrinsically Motivated Learning of Hierarchical Collections of Skills
Completely Self-referential Optimal Reinforcement Learners
Reinforcement Learning: An Introduction
...
1
2
3
4
5
...