2 papers
cs.RO2026
Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured Review
Kumater Ter, Abolanle Adetifa, Daniel Udekwe
Reinforcement learning (RL) has become a foundational approach for enabling intelligent robotic behavior in dynamic and uncertain environments. This work presents an in-depth revie…
cs.LG2026
Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey
Rexcharles Donatus, Kumater Ter, Daniel Udekwe
The growing complexity of urban mobility and the demand for efficient, sustainable, and adaptive solutions have positioned Intelligent Transportation Systems (ITS) at the forefront…