Sciweavers

221 search results - page 2 / 45
» Relational Reinforcement Learning for Agents in Worlds with ...
Sort
View
FLAIRS
2007
13 years 7 months ago
A Generalizing Spatial Representation for Robot Navigation with Reinforcement Learning
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
Lutz Frommberger
IJAIT
2008
146views more  IJAIT 2008»
13 years 4 months ago
Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
Lutz Frommberger
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
13 years 3 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
LAMAS
2005
Springer
13 years 10 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
DAGM
2006
Springer
13 years 8 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann