• Picture of Nilaksh

    Co-supervisor: Caglar Gulcehre
    Research Areas: Reinforcement Learning, Embodied AI

Activity

  • PhD Student: Aug 2025 - now

Preprints

Conference and Journal Papers

2026

  1. Squeezing More from the Stream: Learning Representation Online for Streaming Reinforcement Learning
    , , , François Rivest, and
    International Conference on Machine Learning (ICML), 2026.
    #RL, #DL
    [arXiv], [code]

  2. BRIDGE: Predicting Human Task Completion Time From Model Performance
    Fengyuan Liu*, Jay Gala*, , Dzmitry Bahdanau, Siva Reddy, and Hugo Larochelle
    International Conference on Machine Learning (ICML), 2026.
    #NLP
    [arXiv], [code]