242 search results - page 17 / 49 » Using Abstract State Machines at Microsoft: A Case Study |
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
TOPNOC
2010
13 years 2 months ago
2010
Abstract. Contemporary workflow management systems offer workitems to users through specific work-lists. Users select the work-items they will perform without having a specific sch...
SENSYS
2006
ACM
14 years 1 months ago
2006
ACM
Event-driven programming is a popular model for writing programs for tiny embedded systems and sensor network nodes. While event-driven programming can keep the memory overhead do...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed t...
ECML
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....