In this paper, we report a RL algorithm for partially observable ITS based on DSRC. The performance of this system is studied under different car flows, ...

Jul 4, 2018 · In this paper, we report a RL algorithm for partially observable ITS based on DSRC. The performance of this system is studied under different car flows, ...

We examine a family of transportation systems, whichwe will refer to as `Partially Detected Intelligent Transportation Systems'. Analgorithm that can act well ...

This paper studies the traffic monitoring problem in a road network using a team of aerial robots. The problem is challenging due to two main reasons.

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This is the first study in the area of traffic signal control that combines the optimization-based signal control algorithm with imitation learning network.

5 days ago · Reinforcement Learning (RL) has emerged as a promising approach to enhancing ATSC systems. RL algorithms enable controllers to learn optimal ...

The two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) for solving partially observable Markov decision ...

This survey extensively summarizes existing works in this field by categorizing them with respect to application types, control models and studied algorithms.

We propose a fast real-time reinforcement learning (RL) control algorithm for large-scale partially-observable linear dynamic systems.