Photo-Realistic Blocksworld Dataset
  In this report, we introduce an artificial dataset generator for
Photo-realistic Blocksworld domain. Blocksworld is one of the oldest high-level
task planning domain that is well defined but contains sufficient complexity,
e.g., the conflicting subgoals and the decomposability into subproblems. We aim
to make this dataset a benchmark for Neural-Symbolic integrated systems and
accelerate the research in this area. The key advantage of such systems is the
ability to obtain a symbolic model from the real-world input and perform a
fast, systematic, complete algorithm for symbolic reasoning, without any
supervision and the reward signal from the environment.
