The two most popular backtrack algorithms for solving Constraint Satisfaction Problems (CSPs) are Forward Checking (FC) and Maintaining Arc Consistency (MAC). MAC maintains full ar...
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Planning for numeric goals is an important problem. Only one of the many participants from the 2002 international planning competition (Metric-FF) can effectively handle problems ...
Abstract. Trees are useful data structures, but to design efficient parallel programs over trees is known to be more difficult than to do over lists. Although several important tre...