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metaplanner - Recursive self-optimizing AI planner

Experimental hyperc-defined PDDL planner

Because the planning problem is defined as the planning problem itself - the system is suitable for searching for a universal, domain-independent heuristic with machine learning.

Several planner features are targeted:

  • support infinite level of recursion of itself to allow searching for a better heuristic of searching a better heuristic...
  • definition-modifying actions to optimize the problem itself as part of solving process
  • same actions to be used as auto-fixing for incorrect problems which shoud make all problems solvable

The project is under heavy development. If you are interested in more details please write at [email protected].

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Recursive self-optimizing AI planner

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