Sciweavers

154 search results - page 1 / 31
» Learning Team Strategies: Soccer Case Studies
Sort
View
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...
ROBOCUP
2004
Springer
133views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Towards a League-Independent Qualitative Soccer Theory for RoboCup
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
CORR
2004
Springer
191views Education» more  CORR 2004»
13 years 4 months ago
Artificial Intelligence and Systems Theory: Applied to Cooperative Robots
- This paper describes an approach to the design of a population of cooperative robots based on concepts borrowed from Systems Theory and Artificial Intelligence The research has b...
Pedro U. Lima, Luís M. M. Custódio
IJMMS
1998
74views more  IJMMS 1998»
13 years 4 months ago
Towards collaborative and adversarial learning: a case study in robotic soccer
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to th...
Peter Stone, Manuela M. Veloso