106 search results - page 18 / 22 » Performance Bounded Reinforcement Learning in Strategic Inte... |
SASO
2009
IEEE
14 years 3 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
— While underactuated robotic systems are capable of energy efficient and rapid dynamic behavior, we still do not fully understand how body dynamics can be actively used for ada...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
IAT
2010
IEEE
13 years 7 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
ROMAN
2007
IEEE
14 years 3 months ago
2007
IEEE
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...