Next: Methods of Temporal Invariances.
Up: ONGOING AND FUTURE RESEARCH
Previous: ONGOING AND FUTURE RESEARCH
Scenes with multiple objects or objects with rich internal details
require either recurrent connections in both
and
or some other mechanism for escaping certain cases of local
minima. Local minima can be caused by parts of the pixel plane
that look similar to the target input, while the nearby environment
does not. In such cases the relevant external feedback through
the environment
becomes non-Markovian.
For such situations, additional experiments (not reported here) with
a recurrent
and a recurrent
were conducted. It turned
out that internal feedback
within
and
sometimes can lead to success in cases where
the simple approach fails [1].
However, there is an approach which in the
long run might prove to be even more promising: The adaptive
on-line generation of appropriate sub-goals. Some first work in this
direction already has been done [13].
By using the above-mentioned concept of goal-defining input units with
time-invariant activations,
we intend to apply adaptive sub-goal generators to the
problems of `local minima' that can arise during the target
detection process.
Next: Methods of Temporal Invariances.
Up: ONGOING AND FUTURE RESEARCH
Previous: ONGOING AND FUTURE RESEARCH
Juergen Schmidhuber
2003-02-21
Back to Reinforcement Learning page
Back to main page on Learning attentive vision