Monday, October 17, 2011

Dimensions of RLSOM

At the Cognitive Robotics Research Centre at the University of Wales, Newport, we have been working on a reinforcement learning self-organizing map (RLSOM).
Without going into the details of the RLSOM algorithm, I'd liek to list some potential extensions:
  • From fixed length memory to primitives
  • STM Length and Learning Frequency
  • Representing space using decaying activation
  • Sparse representation of connections
  • One-shot and incremental learning
  • Pre-structuring hierarchies
  • Random connections across hierarchical levels

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