Emergent Control and Planning in an Autonomous Vehicle

  title={Emergent Control and Planning in an Autonomous Vehicle},
  author={Lisa Meeden and Gary McGraw and Douglas Blank},
We use a connectionist network trained with reinforcement to control both an autonomous robot vehicle and a simulated robot. We show that given appropriate sensory data and architectural structure, a network can learn to control the robot for a simple navigation problem. We then investigate a more complex goal-based problem and examine the plan-like behavior that emerges. 

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Guest editorial : Designing autonomous agents

  • P. Maes
  • Robotics and Autonomous Systems
  • 1990
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