Learning Resilient Behaviors for Navigation Under Uncertainty
Tingxiang Fan,Pinxin Long,Wenxi Liu,Jia Pan,Ruigang Yang,Dinesh Manocha,Tingxiang Fan,Pinxin Long,Wenxi Liu,Jia Pan,Ruigang Yang,Dinesh Manocha
Deep reinforcement learning has great potential to acquire complex, adaptive behaviors for autonomous agents automatically. However, the underlying neural network polices have not been widely deployed in real-world applications, especially in these safety-critical tasks (e.g., autonomous driving). One of the reasons is that the learned policy cannot perform flexible and resilient behaviors as trad...
