IEEE

Application of Reinforcement Learning in Autonomous Mobile Robots

Abstract: With the rapid rise of the deep reinforcement learning and progressive development of sensors for autonomous mobile robots it is feasible to teach robots to solve tasks of autonomous ...
IEEE

A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles

Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...
Frontiers

Real-time traffic signal optimization for urban mobility: a reinforcement learning-enhanced framework with application to Kuwait City

1 Department of Electrical and Computer Engineering, Gulf University for Science and Technology, Hawally, Kuwait 2 Department of Engineering Management, GUST, Hawally, Kuwait Introduction: This study ...
eLife

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...