Alyssa Li Dayan

Alyssa Li Dayan

Artificial Intelligence PhD Student

UC Berkeley

Hi, I am Alyssa Li Dayan (pronounced “A-lee-sa Lee Day-an”); I also go by Li.

I am a Computer Science Ph.D. student at Berkeley Artificial Intelligence Research where I am advised by Stuart Russell. Before that, I was an Machine Learning (ML) research scientist at Uber ATG. I completed my BS at MIT where I did research with the Flavell, Cocosci and MIT-IBM Watson AI labs.

My research is supported by the Hertz Fellowship.

Interests
  • Hierarchical reinforcement learning and skill discovery
  • Continual and lifelong Learning
  • Meta learning
  • Exploration and intrinsic motivation
Education

  • PhD in Computer Science, 2025 (expected)

    UC Berkeley

  • BS in Math with Computer Science, 2018

    Massachusetts Institute of Technology

Recent Publications

Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang (2022). Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. ICLR 2023.

PDF

Ni Ji, G K Madan, G I Fabre, Alyssa Li Dayan, C M Baker, T S Kramer, I Nwabudike, Steven W Flavell (2021). A Neural Circuit for Flexible Control of Persistent Behavioral States. eLife 10.

PDF Cite

Nemanja Djuric, Many Authors, Alyssa Li Dayan, Many More Authors (2021). Multixnet: Multiclass Multistage Multimodal Motion Prediction. In 2021 IEEE Intelligent Vehicles Symposium (IV).

PDF Cite

Alyssa Li Dayan (2019). Analyzing Sketches Around the World with sketch-rnn. Analytics Vidhya, results selected for display at the AI Art Gallery at NeurIPS 2020.

Medium Post

Contact

Undergrads looking for research experience click here.

  • dayan at berkeley dot edu