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77
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ROBOCUP
2004
Springer
85views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Optimizing Precision of Self-Localization in the Simulated Robotics Soccer
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...
Vadim Kyrylov, David Brokenshire, Eddie Hou
96
Voted
AAAI
2012
13 years 18 days ago
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition
This paper presents the design and learning architecture for an omnidirectional walk used by a humanoid robot soccer agent acting in the RoboCup 3D simulation environment. The wal...
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, ...
85
Voted
KI
2007
Springer
15 years 4 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
74
Voted
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
70
Voted
AAAI
2000
14 years 11 months ago
Defining and Using Ideal Teammate and Opponent Agent Models
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
Peter Stone, Patrick Riley, Manuela M. Veloso