As cities continue to expand, railways are expected to become an important component of urban mobility systems. Compared with ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

"key_insight": "When a large language model under reinforcement learning commits a wrong reasoning step early in a trajectory, standard algorithms force it to keep generating until the maximum horizon ...

Abstract: With the development of sixth-generation (6G) wire-less communication networks, the security challenges are becoming increasingly prominent, especially for mobile users (MUs). As a promising ...

This paper addresses the challenges of inter-vehicle communication, taking into consideration the stochastic nature of primary user spectrum occupancy, the highly dynamic fluctuation of channel states ...

I’ve been working on a deep reinforcement learning project that pushed me into one of the most challenging control environments I’ve ever experimented with - a 2D kart racing simulator built from ...

This project presents a comprehensive overview of building a simulation environment in Unity and applying the Proximal Policy Optimization (PPO) algorithm from Unity’s built-in ML-Agents toolkit. We ...

YouTube is updating monetization policies to target inauthentic content. This change will impact channels publishing mass-produced and repetitious videos. Violations could result in removal from the ...

Abstract: With the rapid advancement of electric vehicles and the widespread integration of artificial intelligence technology, the demands for enhanced comfort and stability in vehicle suspension ...

ABSTRACT: This study introduces a novel simulation-based framework that integrates Agent-Based Modelling (ABM) with Reinforcement Learning (RL) to evaluate and optimize policies for mental health ...

Reinforcement learning (RL) has witnessed tremendous advances in recent years, enabling agents to master tasks ranging from video games to robotics. However, designing stable, sample-efficient ...