PLANNING SIMPLE TRAJECTORIES USING NEURAL SUBGOAL GENERATORS
University of Colorado
Boulder, CO 80309, USA
Technische Universität München
We consider the problem of reaching a given goal state from a
given start state by letting an `animat' produce a sequence of
actions in an environment with multiple obstacles.
Simple trajectory planning tasks are solved
with the help of `neural' gradient-based algorithms
for learning without a teacher to generate sequences of
appropriate subgoals in response to novel start/goal combinations.
Relevant topic areas:
Problem solving and planning,
action selection and behavioral sequences,
hierarchical and parallel organizations,
neural correlates of behavior,
perception and motor control.
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