Emergent Control and Planning in an Autonomous Vehicle
Lisa Meeden, Gary A. McGraw, Douglas Blank · Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College) · 1993
We use a connectionist network trained with rein- forcement to control both an autonomous robot ve- hicle and a simulated robot. We show that given appropriate sensory data and architectural struc- ture, 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.