Learning control apparatus, learning control method, and...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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C706S020000, C706S016000

Reexamination Certificate

active

07979364

ABSTRACT:
A learning control apparatus for an autonomous agent including a functional module having a function of multiple inputs and multiple outputs, the function receiving at least one variable and outputting at least one value, includes an estimating unit for estimating a causal relationship of at least one variable, a grouping unit for grouping at least one variable into a variable group in accordance with the estimated causal relationship, a determining for determining a behavior variable corresponding to each of the variable groups, and a layering unit for layering, in accordance with the variable group and the behavior variable, the function corresponding to each variable group, the function receiving the variable grouped into the variable group and outputting the behavior variable.

REFERENCES:
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Doya et al., Multiple Model-based Reinforcement Learning, Human Information Science Laboratories, ATR International, Nov. 2, 2001.
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Jun Tani, “Learning to generate articulated behavior through the bottom-up and the top-down interaction processes”, Neural Networks, Elsevier Science Publishers, vol. 16, No. 1, XP004405399, Jan. 1, 2003, 7 pages.
Bacciu et al., D., “A RLWPR Network for Learning the Internal Model of an Anthropomorphic Robot Arm”, IEEE, 2004.
Doya et al., Kenji, “Multiple Model-based Reinforcement Learning”, Jun. 2000.

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