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Andreas Persson

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…

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2020

ProbAnch: a Modular Probabilistic Anchoring Framework

IJCAI 2020poster

Modeling object representations derived from perceptual observations, in a way that is also semantically meaningful for humans as well as autonomous agents, is a prerequisite for joint human-agent understanding of the world. A practical approach that aims to model such representations is perceptual…