35 search results - page 2 / 7 » Improved State Estimation in Multiagent Settings with Contin... |
UAI
2004
13 years 6 months ago
2004
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
AIIDE
2006
13 years 6 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
CCE
2004
13 years 4 months ago
2004
The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
ECBS
2010
IEEE
13 years 9 months ago
2010
IEEE
The complexity of software in embedded systems has increased significantly over the last years so that software verification now plays an important role in ensuring the overall pr...
HYBRID
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We consider the dynamic feedback problem in a class of hybrid systems modeled as (infinite) state deterministic transition systems, in which the continuous variables are...