3 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning Visual Planning Models from Partially Observed Images
Kebing Jin, Zhanhao Xiao, Hankui Hankz Zhuo +2
There has been increasing attention on planning model learning in classical planning. Most existing approaches, however, focus on learning planning models from structured data in s…
TRAC: A Textual Benchmark for Reasoning about Actions and Change
Weinan He, Canming Huang, Zhanhao Xiao +1
Reasoning about actions and change (RAC) is essential to understand and interact with the ever-changing environment. Previous AI research has shown the importance of fundamental an…
Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification
Hongzhen Zhong, Hai Wan, Weilin Luo +3
In goal-oriented requirements engineering, goal conflict identification is of fundamental importance for requirements analysis. The task aims to find the feasible situations which…
Refining HTN Methods via Task Insertion with Preferences
Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo +3
Hierarchical Task Network (HTN) planning is showing its power in real-world planning. Although domain experts have partial hierarchical domain knowledge, it is time-consuming to sp…
Representation Learning for Classical Planning from Partially Observed Traces
Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo +2
Specifying a complete domain model is time-consuming, which has been a bottleneck of AI planning technique application in many real-world scenarios. Most classical domain-model lea…