688 search results - page 12 / 138 » Using reinforcement learning to adapt an imitation task |
JMLR
2010
13 years 2 months ago
2010
In general, imitation is imprecisely used to address different levels of social learning from high level knowledge transfer to low level regeneration of motor commands. However, t...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
IAT
2003
IEEE
14 years 29 days ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
AIIDE
2006
13 years 9 months ago
2006
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...