3 papers
cs.RO2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics
Andrii Tytarenko
In this paper, the application of imitation learning in caregiving robotics is explored, aiming at addressing the increasing demand for automated assistance in caring for the elder…
cs.RO2024
Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
Andrii Tytarenko
Care-giving and assistive robotics, driven by advancements in AI, offer promising solutions to meet the growing demand for care, particularly in the context of increasing numbers o…
cs.LG2022
Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning
A. Tytarenko
In this paper, we derive a novel method as a generalization over LCEs such as E2C. The method develops the idea of learning a locally linear state space, by adding a multi-step pre…