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Amy Loutfi

2 accepted papers

2025

REvolve: Reward Evolution with Large Language Models using Human Feedback

ICLR 2025poster

Designing effective reward functions is crucial to training reinforcement learning (RL) algorithms. However, this design is non-trivial, even for domain experts, due to the subjective nature of certain tasks that are hard to quantify explicitly. In recent works, large language models (LLMs) have bee…

Cited by 1SourcePDFScholar
2018

Assisted Telemanipulation: A Stack-Of-Tasks Approach to Remote Manipulator Control

IROS 2018poster

This article presents an approach for assisted teleoperation of a robot arm, formulated within a real-time stack-of-tasks (SoT)whole-body motion control framework. The approach leverages the hierarchical nature of the SoT framework to integrate operator commands with assistive tasks, such as joint l…

Cited by 22SourceScholar