59 search results - page 4 / 12 » Reinforcement learning of a simple control task using the sp... |
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
JMLR
2002
13 years 7 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
IJCAI
2001
13 years 9 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
FLAIRS
2006
13 years 9 months ago
2006
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
NIPS
1998
13 years 9 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...