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Skill chaining

From Wikipedia, the free encyclopedia

Skill chaining is a skill discovery method in continuous reinforcement learning. It has been extended to high-dimensional continuous domains by the related Deep skill chaining algorithm.

References

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  • Konidaris, George; Andrew Barto (2009). "Skill discovery in continuous reinforcement learning domains using skill chaining". Advances in Neural Information Processing Systems 22.
  • Bagaria, Akhil; George Konidaris (2020). "Option discovery using deep skill chaining". International Conference on Learning Representations.