688 search results - page 59 / 138 » Using reinforcement learning to adapt an imitation task |
AIIDE
2009
13 years 9 months ago
2009
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
ATAL
2007
Springer
13 years 12 months ago
2007
Springer
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
ROBOCUP
2007
Springer
14 years 1 months 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...
JAIR
2011
13 years 2 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...