Modelling a RTS Planning Domain with Cost Conversion and Rewards

@inproceedings{Alczar2008ModellingAR,
  title={Modelling a RTS Planning Domain with Cost Conversion and Rewards},
  author={Vidal Alc{\'a}zar and Daniel Borrajo and Carlos M{\'a}rquez Linares},
  year={2008}
}
Game playing has always been a good testbed for AI research. In particular, real time strategy (RTS) games are characterized by being complex environments which offer multiple opportunities for AI researchers. In this work, we use AI planning and apply it to a RTS game. More specifically, we have defined a domain using PDDL2.1 that can be used by a computer player to compete in a RTS game setting using automated planning. The goal is to participate in the annual ORTS competition and we have… CONTINUE READING

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