45 citations · 52 across the 2 of their papers we have counts for
5 papers
Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space
Melisa Sener, Yukie Nagai, Erhan Oztop +1
One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are cost…
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
M. Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker +3
To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exp…
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…
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos, Daniel Oliva, Anja Philippsen +3
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures…
Improving interactive reinforcement learning: What makes a good teacher?
Francisco Cruz, Sven Magg, Yukie Nagai +1
Interactive reinforcement learning has become an important apprenticeship approach to speed up convergence in classic reinforcement learning problems. In this regard, a variant of…