32 citations · 66 across the 10 of their papers we have counts for
10 papers
Bimanual rope manipulation skill synthesis through context dependent correction policy learning from human demonstration
T. Baturhan Akbulut, G. Tuba C. Girgin, Arash Mehrabi +3
Learning from demonstration (LfD) provides a convenient means to equip robots with dexterous skills when demonstration can be obtained in robot intrinsic coordinates. However, the…
High-level Features for Resource Economy and Fast Learning in Skill Transfer
Alper Ahmetoglu, Emre Ugur, Minoru Asada +1
Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective decision making. In the last decade, deep networks are pro…
Imitation and Mirror Systems in Robots through Deep Modality Blending Networks
M. Y. Seker, A. Ahmetoglu, Y. Nagai +3
Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and…
On the weight and density bounds of polynomial threshold functions
Erhan Oztop, Minoru Asada
In this report, we show that all n-variable Boolean function can be represented as polynomial threshold functions (PTF) with at most non-zero integer coefficients…
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning
Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki +2
Generative adversarial imitation learning (GAIL) has attracted increasing attention in the field of robot learning. It enables robots to learn a policy to achieve a task demonstrat…
Compensated Integrated Gradients to Reliably Interpret EEG Classification
Kazuki Tachikawa, Yuji Kawai, Jihoon Park +1
Integrated gradients are widely employed to evaluate the contribution of input features in classification models because it satisfies the axioms for attribution of prediction. This…