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KI
2007
Springer
13 years 10 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...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 4 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
ICANN
1997
Springer
13 years 8 months ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
AAAI
2004
13 years 5 months ago
Skill Acquisition and Use for a Dynamically-Balancing Soccer Robot
Dynamically-balancing robots have recently been made available by Segway LLC, in the form of the Segway RMP (Robot Mobility Platform). We have addressed the challenge of using the...
Brett Browning, Ling Xu, Manuela M. Veloso
MLMTA
2003
13 years 5 months ago
Using a Two-Layered Case-Based Reasoning for Prediction in Soccer Coach
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
Mazda Ahmadi, Abolfazl Keighobadi Lamjiri, Mayssam...