Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. - Tanvi Verma; Pradeep Varakantham; Sarit Kraus; Hoong Chuin Lau (ICAPS, 2017)

Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. - Tanvi Verma; Pradeep Varakantham; Hoong Chuin Lau (CoRR, 2018)

Entropy Based Independent Learning in Anonymous Multi-Agent Settings. - Tanvi Verma; Pradeep Varakantham; Hoong Chuin Lau (ICAPS, 2019)

Correlated Learning for Aggregation Systems. - Tanvi Verma; Pradeep Varakantham (UAI, 2019)

Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. - Tanvi Verma; Pradeep Varakantham (CoRR, 2020)

Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization. - Tanvi Verma; Pradeep Varakantham (CoRR, 2022)

Unveiling the Dynamics of Digital Economics: A Comprehensive Exploration. - Nihira Singla; Ajay Rana; Tanvi Verma; Deepankar Singh (IC3I, 2023)

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. - Tanvi Verma; Linh Le Dinh; Nicholas Tan; Xinxing Xu; Ching-Yu Cheng; Yong Liu 026 (AAAI, 2024)

Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. - Tanvi Verma; Lukas Schwemer; Mingrui Tan; Fei Gao; Yong Liu 026; Huazhu Fu (CoRR, 2024)

Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations. - Huy Hoang; Tien Mai; Pradeep Varakantham; Tanvi Verma (CoRR, 2025)