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JUBAYER IBN HAMID

I work in artificial intelligence and reinforcement learning.

I am a PhD student at Stanford University. I am affiliated with Stanford Artificial Intelligence Laboratory (SAIL), where my research is advised by Dorsa Sadigh and Chelsea Finn.

Previously, I studied mathematical physics as an undergraduate at Stanford University and worked as a Student Researcher at Google. Outside of AI, I am interested in pure mathematics, especially abstract algebra and neighbouring fields.

ArXiv Scholar CV Email

Selected Papers
SPIRAL: Learning to Search and Aggregate. Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Michael Y. Li, Omar Shaikh, Yoonho Lee, Dorsa Sadigh, Chelsea Finn, Noah Goodman.
Poly-EPO: Training Exploratory Reasoning Models. Ifdita Hasan Orney*, Jubayer Ibn Hamid*, Shreya Ramanujam, Shirley Wu, Hengyuan Hu, Noah Goodman, Dorsa Sadigh, Chelsea Finn.
Polychromic Objectives for Reinforcement Learning. Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Ellen Xu, Chelsea Finn, Dorsa Sadigh.

(* denotes co-lead)

All Papers
SPIRAL: Learning to Search and Aggregate. Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Michael Y. Li, Omar Shaikh, Yoonho Lee, Dorsa Sadigh, Chelsea Finn, Noah Goodman.
Poly-EPO: Training Exploratory Reasoning Models. Ifdita Hasan Orney*, Jubayer Ibn Hamid*, Shreya Ramanujam, Shirley Wu, Hengyuan Hu, Noah Goodman, Dorsa Sadigh, Chelsea Finn.
Neural Garbage Collection: Learning to Forget while Learning to Reason. Michael Y. Li, Jubayer Ibn Hamid, Emily B. Fox, Noah D. Goodman.
Polychromic Objectives for Reinforcement Learning. Jubayer Ibn Hamid*, Ifdita Hasan Orney*, Ellen Xu, Chelsea Finn, Dorsa Sadigh.
RoboCade: Gamifying Robot Data Collection. Suvir Mirchandani*, Mia Tang*, Jiafei Duan, Jubayer Ibn Hamid, Michael Cho, Dorsa Sadigh.
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. Yuejiang Liu*, Jubayer Ibn Hamid*, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn.
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. Kyle Hsu*, Jubayer Ibn Hamid*, Kaylee Burns, Chelsea Finn, Jiajun Wu.
What Makes Pre-trained Visual Representations Successful For Robust Manipulation? Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman.

(*) denotes co-first authorship

Notes
Set Reinforcement Learning: Principles and Approaches.
Category Theory and Algebraic Geometry.
In progress.
Rings, Modules and Categories.
In progress.
Group Theory.
Whitney's Embedding Theorem and Immersion Theorem.
Deep Reinforcement Learning.
Trust Region Optimization Methods.
Teaching
CS 224R - Deep Reinforcement Learning.
Head CA. Spring, 2025.
CS 229 - Machine Learning.
CA. Winter, 2025.