LP-GNN learns vectorized planning domain models via GNNs from partial traces and outperforms the ARMS learner on solving problems across five classical domains.
Learning by observation and practice: A framework for automatic acquisition of planning operators
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Representation Learning for Classical Planning from Partially Observed Traces
LP-GNN learns vectorized planning domain models via GNNs from partial traces and outperforms the ARMS learner on solving problems across five classical domains.