2 citations · 2 across the 2 of their papers we have counts for
4 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…
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…
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…
Heuristic algorithms for obtaining Polynomial Threshold Functions with low densities
Can Eren Sezener, Erhan Oztop
In this paper we present several heuristic algorithms, including a Genetic Algorithm (GA), for obtaining polynomial threshold function (PTF) representations of Boolean functions (B…