Deep Reinforcement Learning for Active Target Tracking
Heejin Jeong Hamed Hassani Manfred Morari Daniel D. Lee George J. Pappas Heejin Jeong Hamed Hassani Manfred Morari Daniel D. Lee George J. Pappas
We solve active target tracking, one of the essential tasks in autonomous systems, using a deep reinforcement learning (RL) approach. In this problem, an autonomous agent is tasked with acquiring information about targets of interests using its on-board sensors. The classical challenges in this problem are system model dependence and the difficulty of computing information-theoretic cost functions...