Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
We present a method for specifying temporal constraints on trajectories of dynamical systems and enforcing them during qualitative simulation. This capability can be used to focus...
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
There is one method, called the Block Gradient Method here, whereby to detect image movements from an image sequence. This method has an advantage over the computing costs in a mo...