Clay: Integrating Motor Schemas and Reinforcement Learning 1 Background and Related Work 1.1 Motor Schemas

@inproceedings{Balch1997ClayIM,
  title={Clay: Integrating Motor Schemas and Reinforcement Learning 1 Background and Related Work 1.1 Motor Schemas},
  author={Tucker Balch},
  year={1997}
}
Clay is an evolutionary architecture for autonomous robots that integrates motor schema-based control and reinforcement learning. Robots utilizing Clay beneet from the real-time performance of motor schemas in continuous and dynamic environments while taking advantage of adaptive reinforcement learning. Clay coordinates assemblages (groups of motor schemas) using embedded reinforcement learning modules. The coordination modules activate speciic assemblages based on the presently perceived… CONTINUE READING
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