Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model

The dynamic cooperation model of multi-Agent is formed by combining reinforcement learning with BDI model. In this model, the concept of the individual optimization loses its meaning, because the repayment of each Agent dose not only depend on itsself but also on the choice of other Agents. All Agen...

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Main Authors: Guo Qi, Wu Bo-ying
Format: Article
Language:English
Published: SAGE Publishing 2009-06-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/6795
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author Guo Qi
Wu Bo-ying
author_facet Guo Qi
Wu Bo-ying
author_sort Guo Qi
collection DOAJ
description The dynamic cooperation model of multi-Agent is formed by combining reinforcement learning with BDI model. In this model, the concept of the individual optimization loses its meaning, because the repayment of each Agent dose not only depend on itsself but also on the choice of other Agents. All Agents can pursue a common optimum solution and try to realize the united intention as a whole to a maximum limit. The robot moves to its goal, depending on the present positions of the other robots that cooperate with it and the present position of the ball. One of these robots cooperating with it is controlled to move by man with a joystick. In this way, Agent can be ensured to search for each state-action as frequently as possible when it carries on choosing movements, so as to shorten the time of searching for the movement space so that the convergence speed of reinforcement learning can be improved. The validity of the proposed cooperative strategy for the robot soccer has been proved by combining theoretical analysis with simulation robot soccer match (11vs11).
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spelling doaj.art-cfe1a3e9b0c349c28cd78de297e6e2862022-12-21T17:48:58ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142009-06-01610.5772/679510.5772_6795Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI ModelGuo QiWu Bo-yingThe dynamic cooperation model of multi-Agent is formed by combining reinforcement learning with BDI model. In this model, the concept of the individual optimization loses its meaning, because the repayment of each Agent dose not only depend on itsself but also on the choice of other Agents. All Agents can pursue a common optimum solution and try to realize the united intention as a whole to a maximum limit. The robot moves to its goal, depending on the present positions of the other robots that cooperate with it and the present position of the ball. One of these robots cooperating with it is controlled to move by man with a joystick. In this way, Agent can be ensured to search for each state-action as frequently as possible when it carries on choosing movements, so as to shorten the time of searching for the movement space so that the convergence speed of reinforcement learning can be improved. The validity of the proposed cooperative strategy for the robot soccer has been proved by combining theoretical analysis with simulation robot soccer match (11vs11).https://doi.org/10.5772/6795
spellingShingle Guo Qi
Wu Bo-ying
Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
International Journal of Advanced Robotic Systems
title Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
title_full Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
title_fullStr Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
title_full_unstemmed Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
title_short Study and Application of Reinforcement Learning in Cooperative Strategy of the Robot Soccer Based on BDI Model
title_sort study and application of reinforcement learning in cooperative strategy of the robot soccer based on bdi model
url https://doi.org/10.5772/6795
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AT wuboying studyandapplicationofreinforcementlearningincooperativestrategyoftherobotsoccerbasedonbdimodel