A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
There is controversy as to whether explicit support for PDDL-like axioms and derived predicates is needed for planners to handle real-world domains effectively. Many researchers h...
Decision-support applications generate queries with complex predicates. We show how the factorization of complex query expressions exposes significant opportunities for exploiting...
We present a complex scheduling problem where we want to plan meetings between customers and exhibitors at a trade event. One cause of the complexity of the problem is the general...