| Reinforcement Learning in the Sensor-Evader Domain (2009) | |||||||||||||||
Abstract | |||||||||||||||
| Abstract. We present a study of reinforcement learning in the adversarial sensorevader domain, where a group of mobile sensors are trying to detect a moving evader. Amongst other results, we show that for the sensor, there are cases where following a learned policy does not significantly improve detector performance when compared to a random policy. 1 | |||||||||||||||
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