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Meghna Lowalekar
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2020 – today
- 2024
- [c13]Akanksha Tyagi, Meghna Lowalekar, Praveen Paruchuri:
Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach. VEHITS 2024: 134-143 - 2022
- [c12]Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Joint Pricing and Matching for City-Scale Ride-Pooling. ICAPS 2022: 499-507 - 2021
- [j3]Meghna Lowalekar, Pradeep Varakantham
, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. 70: 119-167 (2021) - [c11]Dexun Li, Meghna Lowalekar, Pradeep Varakantham:
CLAIM: curriculum learning policy for influence maximization in unknown social networks. UAI 2021: 1455-1465 - [i4]Dexun Li, Meghna Lowalekar, Pradeep Varakantham:
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks. CoRR abs/2107.03603 (2021) - 2020
- [c10]Sanket Shah
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI 2020: 507-515 - [c9]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS 2020: 771-779 - [i3]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR abs/2009.06051 (2020) - [i2]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Competitive Ratios for Online Multi-capacity Ridesharing. CoRR abs/2009.07925 (2020)
2010 – 2019
- 2019
- [c8]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS 2019: 528-538 - [c7]Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar:
RE-ORG: An Online Repositioning Guidance Agent. AAMAS 2019: 2369-2371 - [i1]Sanket Shah
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR abs/1911.08842 (2019) - 2018
- [j2]Meghna Lowalekar, Pradeep Varakantham
Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. 261: 71-112 (2018) - [c6]Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman:
Upping the Game of Taxi Driving in the Age of Uber. AAAI 2018: 7779-7785 - [c5]Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Pradeep Varakantham, Nghia Troung Troung, Firmansyah Bin Abd Rahman:
A Driver Guidance System for Taxis in Singapore. AAMAS 2018: 1820-1822 - 2017
- [j1]Asrar Ahmed, Pradeep Varakantham
Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. 59: 229-264 (2017) - [c4]Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet:
Online Repositioning in Bike Sharing Systems. ICAPS 2017: 200-208 - 2016
- [c3]Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI 2016: 3271-3277 - [c2]Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar:
Robust Influence Maximization: (Extended Abstract). AAMAS 2016: 1395-1396
2000 – 2009
- 2008
- [c1]Meghna Lowalekar, Ritesh Kumar Tiwari, Kamalakar Karlapalem:
Security Policy Satisfiability and Failure Resilience in Workflows. FIDIS 2008: 197-210
Coauthor Index
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last updated on 2024-05-29 20:41 CEST by the dblp team
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