Tanvi Verma

14 papers A* 3A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards.
CoRR
Tanvi Verma, Yang Zhou, Rick Siow Mong Goh, Yong Liu
2025 J jnl
Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations.
CoRR
Huy Hoang, Tien Mai, Pradeep Varakantham, Tanvi Verma
2024 J jnl
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution.
CoRR
Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu
2024 — conf
Optimizing Indoor Farming: Deep Learning for Predicting Plant Growth under LED Light Treatments.
CAI
Tanvi Verma, Norman Teo Zhi Wei, Fei Gao, Hao Yu, Ricardo Shirota Filho
2024 — conf
PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning.
CAI
Tanvi Verma, Ricardo Shirota Filho
2024 A* conf
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.
AAAI
Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
2024 J jnl
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.
CoRR
Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
2023 — conf
Unveiling the Dynamics of Digital Economics: A Comprehensive Exploration.
IC3I
Nihira Singla, Ajay Rana, Tanvi Verma, Deepankar Singh
2022 J jnl
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization.
CoRR
Tanvi Verma, Pradeep Varakantham
2020 J jnl
Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems.
CoRR
Tanvi Verma, Pradeep Varakantham
2019 A conf
Correlated Learning for Aggregation Systems.
UAI
Tanvi Verma, Pradeep Varakantham
2019 A* conf
Entropy Based Independent Learning in Anonymous Multi-Agent Settings.
ICAPS
Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2018 J jnl
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings.
CoRR
Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2017 A* conf
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues.
ICAPS
Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau