Activity

  • Intern: Jan 2024 - now
  • Master's Student: Jan 2021 - Dec 2023

Master's thesis

  1. Towards Adaptive Deep Model-Based Reinforcement Learning
    by , with Sarath Chandar as supervisor.
    Université de Montréal ⸺ November 2023.
    [thesis]

Conference and Journal Papers

2024

  1. Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
    Safa Alver, , and Doina Precup
    Conference on Lifelong Learning Agents (CoLLAs), 2024.
    #RL
    [arXiv]

2023

  1. Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning
    , , Ida Momennejad, Harm van Seijen, and
    Conference on Lifelong Learning Agents (CoLLAs), 2023.
    [Deep Reinforcement Learning Workshop, NeurIPS, 2022]
    #RL
    [pmlr], [arXiv]

2022

  1. Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
    , , , Ida Momennejad, , and Harm van Seijen
    International Conference on Machine Learning (ICML), 2022.
    #RL
    [pmlr], [arXiv], [code]