7 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
Mateus G. Machado, João G. Melo, Cleber Zanchettin +4
This work investigates the potential of Reinforcement Learning (RL) to tackle robot motion planning challenges in the dynamic RoboCup Small Size League (SSL). Using a heuristic con…
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros +6
The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent wi…
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior +5
This article introduces an open framework, called VSSS-RL, for studying Reinforcement Learning (RL) and sim-to-real in robot soccer, focusing on the IEEE Very Small Size Soccer (VS…
Incremental Semantic Mapping with Unsupervised On-line Learning
Ygor C. N. Sousa, Hansenclever F. Bassani
This paper introduces an incremental semantic mapping approach, with on-line unsupervised learning, based on Self-Organizing Maps (SOM) for robotic agents. The method includes a ma…