Łukasz Kuciński
Scholar

Łukasz Kuciński

Google Scholar ID: l6dK-VUAAAAJ
Polish Academy of Sciences; University of Warsaw; IDEAS NCBR
LLMsalignmentreinforcement learningsequential decision-makingcontinual learning
Citations & Impact
All-time
Citations
467
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
63
list available
Resume
Academic Achievements
  • Awarded an OPUS grant; published multiple papers in top conferences such as NeurIPS, ICML, ICLR, TMLR, CoLLAs, and served as an AC role at NeurIPS24; involved in research projects like BALROG, Magnushammer, etc.
Research Experience
  • Assistant Professor at the Polish Academy of Sciences, Assistant Professor at the University of Warsaw, Senior Research Scientist at IDEAS, member of the ELLIS Society, and involved with Ingenix.ai. Previously led a Solvency II internal models team at the Polish Financial Supervision Authority.
Education
  • Received a PhD in mathematics from IMPAN and an MSc from the University of Warsaw. Advisor information not provided.
Background
  • Aims to design artificial intelligence that learns to solve problems autonomously and in a self-improvement loop. Research interests include debates, Large Language Models (LLMs), and Reinforcement Learning (RL). Teaches Reinforcement Learning and Machine Learning.
Miscellany
  • Member of the Polish AI Olympiad Organizing Committee; regularly reviews papers for several international conferences; personal interests and hobbies not mentioned.