Rui Serra

Papers

Total Citations

H-Index

About

Rui Serra is a researcher specializing in reinforcement learning and autonomous robotics, with a particular focus on robotic soccer control systems. His primary research contributions center on the development of efficient learning algorithms for multi-agent robotic environments, most notably through his work on the Q-Batch update-rule. This innovative approach, detailed in his most-cited paper "Batch Reinforcement Learning for Robotic Soccer Using the Q-Batch Update-Rule" (2015, 10 citations), offers a practical solution for training robotic controllers without requiring real-time interaction, significantly improving learning efficiency in competitive settings. Serra's work extends to the CAMBADA Middle Size robotic soccer team, where he contributed to the development of a new robot platform and various system components, as documented in the team's qualification paper for RoboCup'2013. His research demonstrates how reinforcement learning can provide a valuable alternative to traditional controller development, enabling robots to learn optimal behaviors through experience rather than manual programming. Through his publications on learning robotic soccer controllers, Serra has helped advance the application of batch reinforcement learning techniques to real-world robotic systems, contributing to the broader field of autonomous decision-making in dynamic environments.