This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized ...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
Systems that provide automated game-design support-whether fully automated game generators, or tools to assist human designers--must be able to maintain a representation of a game...
Interactive Storytelling techniques are attracting much interest for their potential to develop new game genres but also as another form of procedural content generation, specific...
David Pizzi, Marc Cavazza, Alex Whittaker, Jean-Lu...