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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 1Source ↗PDF ↗Scholar ↗
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 22Source ↗Scholar ↗