Information processing apparatus, information processing method, and computer program
AssigneeSony Corporation
InventorsKohtaro Sabe, Katsuki Minamino, Kenta Kawamoto, Hirotaka Suzuki, Kenichi Hidai
Life of this patent
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Abstract
An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.
Claims19
An information processing apparatus comprising:
- model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor;
- controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means;
- initial-structure setting means for initializing structure of the state transition model to sparse structure;
- data adjusting means for adjusting the time series data used for the learning according to progress of the learning and outputting time series data after the adjustment;
- parameter estimating means for estimating a parameter of the state transition model using the time series data after adjustment;
- and
- structure adjusting means for adjusting the structure of the state transition model.
An information processing method comprising the steps of:
- self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor;
- performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the self-organized internal state self-organized;
- initializing structure of the state transition model to sparse structure;
- adjusting the time series data used for the learning according to progress of the learning and outputting time series data after the adjustment;
- estimating a parameter of the state transition model using the time series data after adjustment;
- and
- adjusting the structure of the state transition model.
An information processing apparatus comprising:
- a model learning unit self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor;
- a controller learning unit performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning unit;
- an initial-structure setting unit initializing structure of the state transition model to sparse structure;
- a data adjusting unit adjusting the time series data used for the learning according to progress of the learning and outputting time series data after the adjustment;
- a parameter estimating unit estimating a parameter of the state transition model using the time series data after adjustment;
- and
- a structure adjusting unit adjusting the structure of the state transition model.
Dependencies are inferred from the claim text.