Video games in general and educational role play games in particular would increase in believability if Non Player Characters reacted appropriately to the player’s actions. Reali...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Abstract. In this paper we describe ConStruct, a distributed, contextaggregation based service infrastructure which supports the development of context-aware applications. ConStruc...
A Situated Conversational Agent (SCA) is an agent that engages in dialog about the context within which it is embedded. Situated dialog is characterized by its deep connection to ...
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...