3 papers
cs.LG2025
Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
Sarmad Mehrdad, Avadesh Meduri, Ludovic Righetti
We present an iterative inverse reinforcement learning algorithm to infer optimal cost functions in continuous spaces. Based on a popular maximum entropy criteria, our approach ite…
cs.RO2023
How Does the Inner Geometry of Soft Actuators Modulate the Dynamic and Hysteretic Response?
Jacqueline Libby, Aniket A. Somwanshi, Federico Stancati +4
This paper investigates the influence of the internal geometrical structure of soft pneu-nets on the dynamic response and hysteresis of the actuators. The research findings indicat…
cs.LG2023
FiMReSt: Finite Mixture of Multivariate Regulated Skew-t Kernels -- A Flexible Probabilistic Model for Multi-Clustered Data with Asymmetrically-Scattered Non-Gaussian Kernels
Sarmad Mehrdad, S. Farokh Atashzar
Recently skew-t mixture models have been introduced as a flexible probabilistic modeling technique taking into account both skewness in data clusters and the statistical degree of…