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2020 – today
- 2025
[c3]Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato:
On Stateful Value Factorization in Multi-Agent Reinforcement Learning. AAMAS 2025: 1445-1453- [i5]Andrea Baisero, Rupali Bhati, Shuo Liu, Aathira Pillai, Christopher Amato:
Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning. CoRR abs/2505.10484 (2025) - 2023
- [i4]Rupali Bhati, Jennifer Jones, Audrey Durand:
Interpret Your Care: Predicting the Evolution of Symptoms for Cancer Patients. CoRR abs/2302.09659 (2023) - [i3]Rupali Bhati, Sai Krishna Gottipati, Clodéric Mars, Matthew E. Taylor:
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning. CoRR abs/2312.11768 (2023) - 2022
- [c2]Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand:
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning. SafeAI@AAAI 2022 - 2021
- [i2]Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand:
CARL: Conditional-value-at-risk Adversarial Reinforcement Learning. CoRR abs/2109.09470 (2021)
2010 – 2019
- 2018
- [c1]Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit:
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. ITSC 2018: 3287-3293 - [i1]Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit:
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. CoRR abs/1807.03515 (2018)
Coauthor Index
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