41 search results - page 3 / 9 » Heuristic Reinforcement Learning Applied to RoboCup Simulati... |
ROBOCUP
2005
Springer
13 years 12 months ago
2005
Springer
Agents in dynamic environments have to deal with world rep- To appear in: RoboCup 2005: Robot Soccer World Cup IX, c Springer-Verlag, 2006 resentations that change over time. In or...
AIIDE
2006
13 years 7 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ROBOCUP
1999
Springer
13 years 10 months ago
1999
Springer
In RoboCup-98, sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we...
ROBOCUP
2007
Springer
14 years 14 days ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
AR
2008
13 years 6 months ago
2008
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...