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This is an old revision of this page, as edited by JSchaef (talk | contribs) at 15:13, 30 June 2011 (rough outline of potential topics). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
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I will talk about - introduction with definition and summary of article - the different approaches to sequence learning - types of sequence learning

    - temporal sequence learning
    - motor sequence learning
    - implicit sequence learning

- Sequence learning problems: four basic categories

    - sequence prediction
    - sequence recognition
    - sequence generation
    - sequential decision making

- Sequence learning models

    - learning paradigms
    - implementation paradigms
    - whether the world is deterministic or probabilistic
    - whether the world is Markovian or non- Markovian;
    - whether the task is closed- or open-loop
    - whether action is involved
    - whether an action policy is deterministic or stochastic 
    - applicable domains—for example, software agents, speech and language processing, navigation  

learning, or motor sequence learning.