30 citations · 85 across the 17 of their papers we have counts for
Showing 2019Show all
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cs.AI2019★ 3 cited
Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
Masataro Asai
Recent work on Neural-Symbolic systems that learn the discrete planning model from images has opened a promising direction for expanding the scope of Automated Planning and Schedul…
cs.LG2019★ 5 cited
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder
Masataro Asai, Hiroshi Kajino
While classical planning has been an active branch of AI, its applicability is limited to the tasks precisely modeled by humans. Fully automated high-level agents should be instead…
cs.AI2019★ 20 cited
Unsupervised Grounding of Plannable First-Order Logic Representation from Images
Masataro Asai
Recently, there is an increasing interest in obtaining the relational structures of the environment in the Reinforcement Learning community. However, the resulting "relations" are…