Roberta Raileanu
Scholar

Roberta Raileanu

Google Scholar ID: 462OoekAAAAJ
Research Scientist at Google DeepMind, Honorary Lecturer at UCL
Artificial IntelligenceReinforcement LearningDeep LearningOpen-Ended Learning
Citations & Impact
All-time
Citations
17,185
 
H-index
31
 
i10-index
41
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Research Experience
  • Senior Staff Research Scientist at Google DeepMind (Open-Endedness team)
  • Former Research Scientist at Meta GenAI, where she led the AI Scientist team to accelerate end-to-end AI R&D using AI agents
  • Founded and led the Tool Use team for Llama 3 at Meta, enabling tool usage (e.g., search, Python, text-to-image, Wolfram Alpha) and zero-shot generalization to new tools
  • Her LLM agent research underpins widely used Meta products like Meta AI, Data Analyst, AI Studio, and Ads Business Agent, serving hundreds of millions of users
  • Interned during PhD at DeepMind, Microsoft Research, and Facebook AI Research
Background
  • Currently a Senior Staff Research Scientist at Google DeepMind in the Open-Endedness team
  • Honorary Lecturer (Adjunct Professor) at UCL, closely collaborating with the UCL-DARK Lab and advising PhD students
  • Co-developed and currently co-teaching a new course on Open-Endedness and General Intelligence
  • Broadly interested in designing ML algorithms that make robust sequential decisions in complex environments while continuously acquiring new skills and knowledge
  • Long-term goal: develop models that can solve a wide range of new tasks with little or no supervision or training
  • Deeply committed to ensuring such systems are reliable, trustworthy, and aligned with human intentions
  • Work draws from reinforcement learning, open-ended learning, self-supervised learning, and NLP
  • Currently focuses on the intersection of large language models (LLMs) and decision-making/RL—especially augmenting LLMs with planning, reasoning, actions, tool use, and goal-directed behavior, and teaching them via human feedback in an open-ended manner
  • Also interested in improving generalization and robustness of autonomous agents and large pretrained models