BRIDGING THE GAP : LEARNING IN THE ROBOCUP SIMULATION AND MIDSIZE LEAGUE
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[1] C. Watkins. Learning from delayed rewards , 1989 .
[2] Hiroaki Kitano,et al. RoboCup: A Challenge Problem for AI , 1997, AI Mag..
[3] Simon J. Godsill,et al. On sequential simulation-based methods for Bayesian filtering , 1998 .
[4] Michael P. Wellman,et al. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm , 1998, ICML.
[5] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[6] Martin A. Riedmiller,et al. Using Machine Learning Techniques in Complex Multi-Agent Domains , 2003 .
[7] Alexander Kleiner,et al. A Plugin-Based Architecture for Simulation in the F2000 League , 2003, RoboCup.
[8] Sven Behnke,et al. Predicting Away Robot Control Latency , 2003, RoboCup.
[9] Martin Lauer,et al. Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization , 2005, RoboCup.
[10] Martin A. Riedmiller. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method , 2005, ECML.
[11] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[12] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[13] Motion Estimation of Moving Objects for Autonomous Mobile Robots , 2006, Künstliche Intell..
[14] Martin A. Riedmiller,et al. Learning a Partial Behavior for a Competitive Robotic Soccer Agent , 2006, Künstliche Intell..