Scalable Generative Models for Multi-label Learning with Missing Labels. - Vikas Jain; Nirbhay Modhe; Piyush Rai (ICML, 2017)

Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. - Nirbhay Modhe; Prithvijit Chattopadhyay; Mohit Sharma; Abhishek Das; Devi Parikh; Dhruv Batra; Ramakrishna Vedantam (CoRR, 2019)

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. - Nirbhay Modhe; Prithvijit Chattopadhyay; Mohit Sharma; Abhishek Das; Devi Parikh; Dhruv Batra; Ramakrishna Vedantam (IJCAI, 2020)

Model-Advantage Optimization for Model-Based Reinforcement Learning. - Nirbhay Modhe; Harish Kamath; Dhruv Batra; Ashwin Kalyan (CoRR, 2021)

Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. - Nirbhay Modhe; Qiaozi Gao; Ashwin Kalyan; Dhruv Batra; Govind Thattai; Gaurav S. Sukhatme (CoRR, 2023)

Leveraging Value-awareness for Online and Offline Model-based Reinforcement Learning. - Nirbhay Modhe (2023)