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2020 – today
- 2024
[c5]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. AAAI 2024: 22401-22409- [i5]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. CoRR abs/2403.05112 (2024) - [i4]Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR abs/2406.01054 (2024) - 2023
- [c4]Nihira Singla, Ajay Rana, Tanvi Verma, Deepankar Singh:
Unveiling the Dynamics of Digital Economics: A Comprehensive Exploration. IC3I 2023: 2633-2637 - 2022
- [i3]Tanvi Verma, Pradeep Varakantham
:
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization. CoRR abs/2212.13379 (2022) - 2020
- [i2]Tanvi Verma, Pradeep Varakantham:
Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. CoRR abs/2003.07088 (2020)
2010 – 2019
- 2019
- [c3]Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau:
Entropy Based Independent Learning in Anonymous Multi-Agent Settings. ICAPS 2019: 655-663 - [c2]Tanvi Verma, Pradeep Varakantham:
Correlated Learning for Aggregation Systems. UAI 2019: 60-70 - 2018
- [i1]Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau:
Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. CoRR abs/1803.09928 (2018) - 2017
- [c1]Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau:
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS 2017: 409-418
Coauthor Index
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