We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
We consider the problem of radiation therapy treatment planning for cancer patients. During radiation therapy, beams of radiation pass through a patient, killing both cancerous an...
H. Edwin Romeijn, Ravindra K. Ahuja, James F. Demp...
We argue for the importance of tool integration in achieving the Program Verifier Grand Challenge. In particular, we argue for what we call strong integration, i.e. a co-operative...
Abstract. We extend the common depth-first backtrack search for constraint satisfaction problems with randomized variable and value selection. The resulting methods are applied to ...
paper we present an abstract agent programming language and its operational semantics which can be used to implement cognitive agents. This language consists of programming constr...