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Mridul Mahajan
mridulm [at] bu [dot] edu

Hi! I am a first-year PhD student at Boston University, where I work with Aldo Pacchiano and Xuezhou (Jack) Zhang.

Previously, I was a guest researcher in the Empirical Inference department at the Max Planck Institute for Intelligent Systems (MPI-IS), advised by Dr. Dieter Büchler and Prof. Bernhard Schölkopf. I was also a research assistant in the Decision and Operation Technologies Group at Universität Bielefeld, advised by Prof. Dr. Kevin Tierney.

In the past, I was a visiting scholar in the Machine Teaching Group at the Max Planck Institute for Software Systems (MPI-SWS), advised by Dr. Adish Singla.

I received a Dual Degree (B.Tech. + M.Tech.) in Information Technology from the Indian Institute of Information Technology (IIIT) Allahabad, where I worked with Prof. G. C. Nandi on antipodal robotic grasping.

I am broadly interested in reinforcement learning (RL) from both algorithmic and application-driven perspectives, especially in utilizing RL methods for robot learning.

email   |   cv   |   google scholar   |   github

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Recent Publications

* indicates equal contribution and co-authorship.

PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
A. Hottung, M. Mahajan, K. Tierney
International Conference on Learning Representations (ICLR) 2025
paper

Learning Embeddings for Sequential Tasks Using Population of Agents
M. Mahajan, G. Tzannetos, G. Radanovic, A. Singla
International Joint Conference on Artificial Intelligence (IJCAI) 2024
paper

METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors
R. Chandra*, X. Wang*, M. Mahajan, R. Kala, R. Palugulla, C. Naidu, A. Jain, D. Manocha
IEEE International Conference on Robotics and Automation (ICRA) 2023
paper



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