PPDDL: Probablistic Planning Domain and Definition Language
Budget: €50 – €80 EUR
Probablistic Planning Domain Definition Language.
so, what we need to do is in Python:
- something that reads a domain.pddl and problem.pddl and puts all the relevant informations (predicates, action with all their things etc...) in a useful structure for us .
- given all the info from the point above, starting from the init position, generate the game (with only one player and average nodes) considering all possible actions and their effects (basically, whenever we have a probabilistic effects we need to add an average node with the possible outcomes)
- given the generated game, solve it with a linear approach based on the fact that we have only max and average nodes.
so, what we need to do is in Python:
- something that reads a domain.pddl and problem.pddl and puts all the relevant informations (predicates, action with all their things etc...) in a useful structure for us .
- given all the info from the point above, starting from the init position, generate the game (with only one player and average nodes) considering all possible actions and their effects (basically, whenever we have a probabilistic effects we need to add an average node with the possible outcomes)
- given the generated game, solve it with a linear approach based on the fact that we have only max and average nodes.