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Modeling Language

The competition language for the learning part of IPC-2011 is the typed STRIPS subset of PDDL:


Evaluation Schema

The organizers are not placing any constraints on what style of learning approach might be used. For example, a system might utilize statistical/inductive learning or purely deductive learning techniques. In addition, the learning part provides a good venue for entering approaches that might not traditionally be viewed as learning, such as pure domain-analysis. Ultimately, we hope to see a wide variety of approaches, that will help answer the following questions. How can a planner best use a learning period in order to improve future performance?

The competition will be run in two stages:



Three winners will be crowned according to the results obtained in the testing stage: one based on a planning-time metric, one based on a plan-quality metric and one based on a learning-impact metric.

In addition, organizers plan to give a special award for any planner that: (1) beats the winner of the sequential part (on learning track domains) with the learned DCK and (2) does not beat the same winner on the same domains without the learned DCK.


Publication of source code

The organizers require all competitors to make public, through the IPC-2011 website, the source code of the version competing in the competition. This will encourage information sharing and allow independent evaluation and double checking of the competition results by the planning community.


2013-10-05 02:29