Adaptive Agents (Adage) Lab

The list of student/postdoc collaborators whom I had the opportunity to work with.
Are you interested in joining my group? Please read this first!

Current

Graduate

Undergraduate

  • You?!

Visitors and Interns

  • You?!

Past

Graduate

  • Romina Abachi (MS Student, CS@U of T; 2020 – 2024; Joint with Sheila McIlraith)
    Topic: Optimistic Risk-Aware Model-based Reinforcement Learning
  • Farnam Mansouri (MS Student, CS@U of T; 2020 – 2022; Joint with Murat Erdogdu)
    Topic: On the Convergence and Approximation of Policy Gradient Methods for Spectral Measures
    Present position: PhD Student at the University of Waterloo
  • Allen Bao (MScAC Student, CS@U of T; 2021)
    Topic: Modern Gameplay Test Automation with Reinforcement Learning
    Present position: Sr. Machine Learning Engineer at AMD
  • Yangchen Pan (PhD Candidate, CS@U of A; Joint with Martha White; 2018 – 2021)
    Topic: Improving Sample Efficiency of Online Temporal Difference Learning
    Present position: Departmental Lecturer in Machine Learning, Oxford University
  • Ehsan Mehralian (MS Student, CS@U of T; 2018 – 2020)
    Topic: Robust Policy Gradient with Successor Features for Transfer in Reinforcement Learning
  • Romina Abachi (MS Student, ECE@U of T; 2018 – 2020)
    Topic: Policy-Aware Model Learning for Policy Gradient Methods
    Present position: PhD student, CS@U of T.
  • Blanca Miller (Visitor; 2018 – 2019)
    Next position: Scientist and educator at Alberta Machine Intelligence Institute (Amii)
    Present position: PhD student at the University of Alberta
  • Mohamed Akrout (MScAC Student, U of T, 2018)
    Topic: RL for Question-Answering-based Dermatological Diagnosis System
    Present position: Research Scientist at Triage
  • Yangchen Pan (PhD Intern, MERL, 2017)
    Topic: RL for PDE Control with High-Dimensional Action Spaces
    Next position: PhD Candidate at the University of Alberta
    Present position: Departmental Lecturer in Machine Learning, Oxford University
  • Sepideh Pourazarm (Postdoctoral Researcher, MERL, 2017)
    Topic: Random Projection Filter Bank for Time Series Prognosis and Fault Detection
    Next position: Senior Data Scientist at Nielsen
    Present position: Senior Manager of Data Science & Staff Data Scientist at Walmart Connect
  • Jordi Grau-Moya (PhD Intern, MERL, 2017)
    Topic: Deep Least-Squares Temporal Difference Learning
    Next position: Senior Machine Learning Researcher at PROWLER
    Present position: Research Scientist at Google DeepMind
  • De-An Huang (MS Student, CMU, 2014) [Collaborator]
    Topic: MaxEnt Inverse RL for Activity Forecasting
    Next position: PhD student at Stanford
    Present position: Research Scientist at NVIDIA.
  • Beomjoon Kim (MS Student, McGill, 2013) [Collaborator]
    Topic: Accelerating Reinforcement Learning with Demonstration Data
    Next position: PhD student at MIT
    Present position: Associate Professor at KAIST

Visitors and Interns

  • Amarildo Likmeta (from Universita di Bologna and Politecnico di Milano; 2023 Summer)
  • Jongmin Lee (from  Seoul National University; 2023 Summer)
  • Patrick Adjei (from Western University; 2023 Summer – Fall)
  • Reginald Chukwuka Molokwu (from University of New Brunswick; 2023 Summer)
  • Youssef Mousaaid (PhD Student in Mathematics from University of Ottawa; 2022 May–July)

Undergraduate

  • Mark Bedaywi (Undergraduate – DCS@U of T; NSERC USRA Awardee; 2023 February – 2024 August)
  • Sophia Abolore (Undergraduate – DCS @ U of T; 2023 Spring – Summer)
  • Yash Ramani (Undergraduate – DCS @ U of T; 2023 Winter – Spring)
  • Mingjian Jiang (BS Student, CS@U of T; 2022 Summer – Fall)
  • Andrew Wang (BS Student, CS@U of T; 2021 Fall – 2022 Fall)
  • Aparna Gopalakrishnan (U of T; 2021 Summer)
  • Victor Liao (Waterloo; 2021 Summer)
  • Qiyao (Ben) Wei (BE Student, ECE@U of T; 2020 Summer – Fall)
  • Qi (Simona) Meng (BE Student, ECE@U of T; 2020 Summer – Fall)

Note to my (former) students: If you have a new position or have an updated website, please let me know.