Negin Hashemi Dijujin

Out-of-Distribution (OoD) Generalization in RL

Publications

• Machine Learning 2025

  Inductive Biases for Zero-Shot Systematic Generalization in Language-Informed Reinforcement Learning

  Negin Hashemi Dijujin, Seyed Roozbeh Razavi Rohani, Mohammad Mahdi Samiei, Mahdieh Soleymani Baghshah

  Studies compositional inductive biases that help language-informed reinforcement learning agents generalize systematically to unseen task combinations.

  Machine Learning (Springer), 2025

  Paper
• TMLR 2025

  CAREL: Instruction-Guided Reinforcement Learning with Cross-Modal Auxiliary Objectives

  Armin Saghafian, Amirmohammad Izadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah

  Uses cross-modal auxiliary objectives and instruction tracking to improve sample efficiency and systematic generalization in language-guided reinforcement learning.

  Transactions on Machine Learning Research (TMLR), 2025

  Paper