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Monty - A Redux

Links Sequence Learning by Backward Chaining in Synthetic Characters (Make Corrections) Peter Gorniak and Bruce Blumberg Synthetic Characters Group and Cognitive... via siteseer abstract: Abstract: We present a learning mechanism that allows an autonomous synthetic character to learn sequences of actions from natural interaction with a human trainer. The synthetic character learns from only a handful of training examples, in a realtime and complex environment. Building on an existing framework for training a virtual dog to perform single actions on command and explore its action and state space, we give the dog the ability to notice consistent reward patterns that follow sequences