Reinforcement Learning based cooperative longitudinal control for reducing traffic oscillations and improving platoon stability

Hybrid Cooperative Agents with Online Reinforcement Learning for Traffic Control

This paper presents the application of fuzzy-neuroevolutionary hybrid system with online reinforcement learning for intelligent road traffic management and control. Taking a step away from the conventional traffic control system, the hybrid system presents different methodologies in knowledge acquisition, decisionmaking, learning and goal formulation with the use of a three-layered hierarchical...

Reinforcement Learning For Adaptive Traffic Signal Control

By 2050, two-thirds of the world’s 9.6 billion people will live in urban areas [2]. In many cities, opportunities to expand urban road networks are limited, so existing roads will need to more efficiently accommodate higher volumes of traffic. Consequently, there is a pressing need for technologically viable, low-cost solutions that can work with existing infrastructure to help alleviate increa...

Reinforcement Learning Based PID Control of Wind Energy Conversion Systems

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Reinforcement learning in neurofuzzy traffic signal control

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control

Flow is a new computational framework, built to support a key need triggered by the rapid growth of autonomy in ground traffic: controllers for autonomous vehicles in the presence of complex nonlinear dynamics in traffic. Leveraging recent advances in deep Reinforcement Learning (RL), Flow enables the use of RL methods such as policy gradient for traffic control and enables benchmarking the per...