Meghna Lowalekar

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Influence Maximization

Extended Abstract

Expected Reward

Approximate Dynamic Programming

Top Venues

Publications

Akanksha Tyagi, Meghna Lowalekar, Praveen Paruchuri
Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach. VEHITS (2024)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Joint Pricing and Matching for City-Scale Ride-Pooling. ICAPS (2022)
Dexun Li, Meghna Lowalekar, Pradeep Varakantham
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks. CoRR (2021)
Dexun Li, Meghna Lowalekar, Pradeep Varakantham
CLAIM: curriculum learning policy for influence maximization in unknown social networks. UAI (2021)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. 70 (2021)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Competitive Ratios for Online Multi-capacity Ridesharing. CoRR (2020)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI (2020)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR (2020)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS (2020)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS (2019)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR (2019)
Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar
RE-ORG: An Online Repositioning Guidance Agent. AAMAS (2019)
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)
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)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. 261 (2018)
Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet
Online Repositioning in Bike Sharing Systems. ICAPS (2017)
Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet
Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. 59 (2017)
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI (2016)
Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar
Robust Influence Maximization: (Extended Abstract). AAMAS (2016)
Meghna Lowalekar, Ritesh Kumar Tiwari, Kamalakar Karlapalem
Security Policy Satisfiability and Failure Resilience in Workflows. FIDIS (2008)