Minttu Alakuijala
Scholar

Minttu Alakuijala

Google Scholar ID: WmrdmjIAAAAJ
Aalto University
reinforcement learninglarge language modelsreward modelsrobotics
Citations & Impact
All-time
Citations
92
 
H-index
4
 
i10-index
3
 
Publications
9
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization, Under review, 2025
  • Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics, TMLR, 2025
  • Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search, NeurIPS 2024
  • Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning, NeurIPS 2024 Workshop on System 2 Reasoning at Scale
  • Learning Reward Functions for Robotic Manipulation by Observing Humans, ICRA 2023
Research Experience
  • Currently a Postdoctoral Researcher at Aalto University, working with Samuel Kaski and Pekka Marttinen, and coordinating the Foundation models for language & reinforcement learning team at FCAI, the Finnish Center for Artificial Intelligence. Previously, a member of the Willow and Thoth teams at Inria.
Education
  • PhD, December 2022, from Google Research (through the CIFRE scheme), Inria, and Ecole Normale Superieure in Paris. Advisors: Cordelia Schmid, Jean Ponce, and Julien Mairal. PhD research focused on RL and learning from demonstration for robotic manipulation.
Background
  • Research interests: LLMs, reinforcement learning (RL), and structures for systematic thinking. Professional field: artificial intelligence, robotic manipulation.