8 search results - page 2 / 2 » Policy Generation for Continuous-time Stochastic Domains wit... |
AAAI
2006
13 years 6 months ago
2006
Few temporal planners handle both concurrency and uncertain durations, but these features commonly co-occur in realworld domains. In this paper, we discuss the challenges caused b...
AAAI
1998
13 years 6 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
ENTCS
2008
13 years 5 months ago
2008
This paper presents the language Lutin and its operational semantics. This language specifically targets the domain of reactive systems, where an execution is a (virtually) infini...