Maicon Rafael Zatelli
Papers
1
Total Citations
7
H-Index
1
About
Maicon Rafael Zattelli is a researcher in artificial intelligence and multi-agent systems, with a particular focus on reinforcement learning and robotics. His work explores how autonomous agents can learn optimal behaviors through interaction with their environments, a field with broad applications from game theory to industrial automation. Zattelli is best known for his pioneering application of Q-Learning to control the attacking behavior of simulated robot soccer teams in the RoboCup 2D domain. His 2012 paper, "A Proposal of QLearning to Control the Attack of a 2D Robot Soccer Simulation Team," introduced a modified reinforcement learning algorithm that allowed individual players to adapt their decision-making when in possession of the ball, significantly improving coordinated offensive strategies. This work, which has accumulated 7 citations, represents an early and influential bridge between classical reinforcement learning and practical multi-agent coordination problems. By demonstrating how machine learning could enhance real-time strategic decision-making in competitive environments, Zattelli’s research has contributed to the broader development of adaptive autonomous systems, inspiring subsequent work in both simulated robotics and applied AI.
Research Focus
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Top Papers
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