Dissertation > Excellent graduate degree dissertation topics show

Research on Robocup Simulation System and Program Design Based on Reinforcement Learning

Author: GaoYong
Tutor: ZengQingJun
School: Jiangsu University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Robot Soccer RoboCup Multi-Agent Reinforcement Learning Minimax Q- learning algorithm
CLC: TP242
Type: Master's thesis
Year: 2011
Downloads: 44
Quote: 1
Read: Download Dissertation


RoboCup provides a standard task to to promote distributed artificial intelligence and intelligent robotics , and related fields of research and development . RoboCup simulation game provides a fully distributed control , real-time asynchronous multi-agent environment , through this platform to test various theories , algorithms and Client architecture , in real-time asynchronous noisy environment to study the problem of multi-agent confrontation . The core technology of the robot soccer artificial intelligence technology, and its purpose is to make the machine has the wisdom of the people , like people aware environment , the ability to learn to the environment . Of this thesis is to study the the RoboCup simulation group game . Robot Soccer World Cup (RoboCup) The simulation group game in a standard computer environment . The game Soccer Server System is standard provided by the RoboCup Committee , various teams to prepare their respective Client program to simulate the actual football players participate in the competition . The paper first analyzes the the robot soccer RoboCup simulation system design and realization , and then focuses on the Amsterdam the UvA-Trilearn team of Client- system structure , program flow , based on program design , mainly include increasing the scenes strategy and evaluation function and other methods. Research on high-level strategy minimax Q- learning method based on the Markov decision process , the simulation results show that the method can solve the problems of confrontation between the agent . The main work of the thesis completed as follows : ( 1 ) to study the composition and operating principle of the system of the entire the RoboCup simulation game platform , which is the basis of the design RoboCup simulation team . (2) The basic operation of the study simulated soccer robots to analyze the characteristics of the operation . On this basis , the design action evaluation function and increase the scene processing strategy . (3) C program in linux platform designed to complete the simulation game client to write, debug and run . (4) of Markov decision processes and reinforcement learning algorithm design minimax - based Q- learning method , and its application in the shortest path problem and RoboCup . The simulation results show that the algorithm can solve the multi confrontation between Agent .

Related Dissertations

  1. Research on Cooperative Orbit Determination in Satellite Network Based on Multi-Agent System Theory,V474
  2. Humanoid Robot Soccer System Based on Global Vision System,TP242.6
  3. Research and Implementation on Service-Oriented Multi-Agent System Cooperation Mechanism,TP393.09
  4. Research on Modeling and Simulation for Credit Risk management and Control System of Bank Based on Complex Multi-Agent Systems,F832.4
  5. Research on Multi-Agent-Based Fire Scene Evacuation Simulation at High-Rised Building,TU972.4
  6. The Design and Implementation of Soccer Robot for RoboCup Middle Size League,TP242
  7. Application of Multi-Agent Methods in Distributed Electric Power Generation Scheduling of Smart Grid,TM76;TM73
  8. Jade Multi-Agent Based Image Retrieval System,TP391.3
  9. Ontology-based Multi-Agent Systems Trading Partner Intelligence research findings related technologies,F713.36
  10. Machining complex manufacturing systems - heat integrated scheduling method,TH186
  11. Workshop production scheduling based on clustering virtual alliance negotiation mechanism,TP301.6
  12. Pheromone -based and multi- path Agent Negotiation cross section flexible scheduling method,TP18
  13. Multi-Agent Based Hebei Hebei Road and Bridge highway construction Intelligent Decision Support System,TP311.52
  14. Path Planning of Robot Systems,TP242
  15. Agent-based real-time monitoring system, research and practice,TP277
  16. Adaptive Software Architecture Model and intelligent research,TP311.52
  17. Trust based on social networks and reputation mechanisms trust model Multi-Agent Systems,TP393.08
  18. Research on Public Science Literacy System Based on Multi-agent Simulation Technique,TP391.9
  19. Research on Crowd Simulation Model Based on Multi-Agent,TP391.9
  20. Discrete multi-agent system coordination and consistency of control,TP273
  21. Model-based dynamic hierarchical reinforcement learning algorithm,TP181

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Robotics > Robot
© 2012 www.DissertationTopic.Net  Mobile