Hi there!

I'm Rupali. I'm a first year Ph.D. student at Northeastern University, Boston supervised by Chris Amato. I find multi-agent problems very interesting and spend most of my time working on sovling such problems using reinforcement learning. In my previous life, I completed my M.Sc. in Computer Science program at Université Laval and Mila, Montreal where my advisor was Audrey Durand. My work during my masters focused on performative prediction in time series problems in healthcare and I also spent some time working on problems in multi-agent reinforcement learning.

Previously, I worked as a Reinforcement Learning Consultant and worked on several cool projects with many startups. I also did some work on autonomous vehicles as a Research Assistant at Indraprastha Institute of Technology Delhi with Saket Anand. I completed my B.Tech from Delhi Technological University with a major in Electronics and Communication in 2016, where S.Indu was my mentor.

Publications:

Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning
Rupali Bhati, ,SaiKrishna Gottipati,Cloderic Mars,Matthew E. Taylor
NeurIPS Agent Learning in Open-Endedness Workshop 2023

Performative Prediction in Time Series: A Case Study
Rupali Bhati, Jennifer Jones, Kristin Campbell, David Langelier, Anthony Reiman, Jonathan Greenland, Audrey Durand
NeurIPS Learning from Time Series for Health Workshop 2022

Summarizing Societies: Agent Abstraction in Multi-Agent Reinforcement Learning
Amin Memarian, Maximilian Puelma Touzel, Matthew D Riemer, Rupali Bhati, Irina Rish
ICLR From Cells to Societies: Collective Learning across Scales Workshop 2022

Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients
Rupali Bhati, Jennifer Jones, Audrey Durand
AAAI Trustworthy AI for Healthcare Workshop 2022

CARL: Conditional-value-at-risk Adversarial Reinforcement Learning
Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand
AAAI Safe AI Workshop 2022

A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving
Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand & P.B.Sujit
Intelligent Transportation Systems Conference 2018

News:
Nov 2023: Awarded Scholarship for NeurIPS registration by ALOE Workshop.
Oct 2023: "Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning" accepted at Agent Learning in Open-Endedness Workshop at NeurIPS 2023.
Sep 2023: Awarded Khoury Distinguished Fellowship.
Sep 2023: Started Ph.D. at Northeastern University.
July 2023: First place for best Game AI Jam Project at the Summer School on AI and Games.
May 2023: Awarded Scholarship to attend the Cooperative AI Summer School.
Apr 2023: Awarded Sony Interactive Entertainment Scholarship to attend the Summer School on AI and Games.
Jan 2023: Started internship at AI Redefined working with Matthew E. Taylor.
Oct 2022: "Performative Prediction in Time Series: A Case Study" accepted at Learning from Time Series for Health Workshop at NeurIPS 2022.
Sep 2022: Accepted to Google CS Research Mentorship 2022 Program.
May 2022: Nominated for Women in Artificial Intelligence Awards North America 2022.
Mar 2022: "Summarizing Societies: Agent Abstraction in Multi-Agent Reinforcement Learning " accepted at ICLR From Cells to Societies: Collective Learning across Scales Workshop 2022.
Mar 2022: Awarded second place at Rendez-Vous IA Quebec 2022 with a cash prize of $1000.
Dec 2021: "Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients" accepted at Trustworthy AI for Healthcare Workshop at AAAI 2022.
Dec 2021: "CARL: Conditional-value-at-risk Adversarial Reinforcement Learning" accepted at Safe AI Workshop at AAAI 2022.
Oct 2021: Abstract accepted at Montreal AI Symposium 2021.
Sep 2020: Joined the M.Sc. in Computer Science program at Université Laval.
July 2019: Attended Reinforcement Learning Summer School, Lille, France


About Me:
I'm a basketball fanatic and a Golden State Warriors supporter. I like to fiddle around with my drum set. Puzzles are my jam. I am a true believer of unicorns. 🦄

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