Abstract. This paper investigates symbolic heuristic search with BDDs for solving domain-independent action planning problems cost-optimally. By distributimpact of operators that t...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should b e useful for bo th biologists and AI researchers, o...
In this paper, we discuss the problem of generating natural anaphora in assembly instructional texts. We rst present a detailed account of grammatical and lexical anaphora and we e...
We consider a market with two suppliers and a set of buyers in search of procurement contracts with one of the suppliers. In particular, each buyer needs to process a certain volu...