3206 search results - page 399 / 642 » Robot Learning From Demonstration |
159
click to vote
ATAL
2007
Springer
16 years 24 days ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
169
click to vote
ISMIS
2000
Springer
15 years 10 months ago
2000
Springer
A learned lesson, in the context of a pre-defined organizational process, summarizes an experience that should be used to modify that process, under the conditions for which that l...
180
click to vote
NECO
2007
15 years 6 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
201
click to vote
ATAL
2011
Springer
14 years 6 months ago
2011
Springer
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
162
click to vote
KDD
2008
ACM
16 years 7 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...