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AIPS
2004
13 years 9 months ago
2004
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
RSS
2007
13 years 9 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
AGENTS
2000
Springer
13 years 11 months ago
2000
Springer
Theoretically motivated planning systems often make assumptions about their environments, in areas such as the predictability of action e ects, static behavior of the environment,...
AAAI
1998
13 years 8 months ago
1998
A key assumption of all problem-solving approaches based on utility theory, including heuristic search, is that we can assign a utility or cost to each state. This in turn require...
CAV
2010
Springer
13 years 11 months ago
2010
Springer
ions of ODE models (MAPLE, GNA). On the algorithmic side (Sec. 3.2), it supports two main streams in high-performance model checking: reachability analysis based on BDDs (symbolic)...