Special Issue: Advancements and Applications in Reinforcement Learning for AI-Robotics
Explore the practical applications and advancements of Reinforcement Learning in AI-Robotics through the Special Issue on Advancements and Applications in Reinforcement Learning. Submit your original research papers, surveys, and tutorials.
A new Special Issue (SI) has been announced focusing on the practical applications and advancements of Reinforcement Learning (RL) in AI-Robotics. This SI aims to showcase the transformative impact of RL technologies across various sectors, such as healthcare, transportation, and gaming. Submissions are invited, ranging from original research papers to surveys and tutorials, to foster a thorough understanding of RL’s real-world potential.
Topics covered in this SI include RL in Robotics and Automation, Game Playing and Simulations, Recommendation Systems, Healthcare and Medicine, Multi-Agent Reinforcement Learning, Autonomous Vehicles and Transportation, Adaptive Control and Scheduling, Adaptive User Interfaces, Crowd Simulation and Management, and Realistic Behaviors Modeling.
This SI will serve as a platform to highlight high-quality, original research and innovative ideas, encouraging the exchange of knowledge and the advancement of RL technologies.
Tags: Special Issue, Reinforcement Learning, AI-Robotics, Practical Applications, Advancements, Healthcare, Transportation, Gaming, RL in Robotics, Game Playing, Simulations, Recommendation Systems, Multi-Agent Reinforcement Learning, Autonomous Vehicles, Adaptive Control, Scheduling, User Interfaces, Crowd Simulation, Realistic Behaviors Modeling