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 (ITSC, 2018)

CARL: Conditional-value-at-risk Adversarial Reinforcement Learning. - Mathieu Godbout; Maxime Heuillet; Sharath Chandra; Rupali Bhati; Audrey Durand (CoRR, 2021)

A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning. - Mathieu Godbout; Maxime Heuillet; Sharath Chandra Raparthy; Rupali Bhati; Audrey Durand (SafeAI@AAAI, 2022)

Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients. - Rupali Bhati; Jennifer Jones; Audrey Durand (CoRR, 2023)

Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning. - Rupali Bhati; Sai Krishna Gottipati; Clodéric Mars; Matthew E. Taylor (CoRR, 2023)

On Stateful Value Factorization in Multi-Agent Reinforcement Learning. - Enrico Marchesini; Andrea Baisero; Rupali Bhati; Christopher Amato (AAMAS, 2025)

Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning. - Andrea Baisero; Rupali Bhati; Shuo Liu; Aathira Pillai; Christopher Amato (CoRR, 2025)