221 search results - page 33 / 45 » Relational Reinforcement Learning for Agents in Worlds with ... |
AAAI
2008
13 years 10 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
MCS
2001
Springer
14 years 3 days ago
2001
Springer
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
ICRA
2003
IEEE
14 years 29 days ago
2003
IEEE
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
AAMAS
2008
Springer
13 years 7 months ago
2008
Springer
Abductive reasoning is a well established field of Artificial Intelligence widely applied to different problem domains not least cognitive robotics and planning. It has been used ...