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Minttu Alakuijala

2 accepted papers

2024

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

NeurIPS 2024poster

In this work we consider Code World Models, world models generated by a Large Language Model (LLM) in the form of Python code for model-based Reinforcement Learning (RL). Calling code instead of LLMs for planning has potential to be more precise, reliable, interpretable, and extremely efficient. How…

2023

Learning Reward Functions for Robotic Manipulation by Observing Humans

ICRA 2023poster

Observing a human demonstrator manipulate objects provides a rich, scalable and inexpensive source of data for learning robotic policies. However, transferring skills from human videos to a robotic manipulator poses several challenges, not least a difference in action and observation spaces. In this…

Cited by 26SourceScholar