PbP2: Automatic Configuration of a Portfolio-based Multi-Planner

We present PbP2, an automated system that generates efficient domain-specific multi-planners from a portfolio of domain-independent planning techniques by (i) computing some sets of macro-actions for every planner in the portfolio, (ii) optimizing the parameter setting of the parameterized planners in the portfolio, (iii) selecting a promising combination of planners in the portfolio and relative useful macroactions, and (iv) defining some running time slots for their round-robin scheduling during planning. The configuration of the portfolio yielding the multi-planner relies on some knowledge about the performance of the planners and relative macro-actions, which is automatically generated from a training problem set. PbP2 is a revision and extension of a preliminary version of this system (PbP) that was awarded at the learning track of IPC-2008.