Follow
Meghna Lowalekar
Meghna Lowalekar
Data Science Consultant at THB
Verified email at phdis.smu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Online spatio-temporal matching in stochastic and dynamic domains
M Lowalekar, P Varakantham, P Jaillet
Artificial Intelligence 261, 71-112, 2018
1082018
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
S Shah, M Lowalekar, P Varakantham
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 507-515, 2020
932020
Online repositioning in bike sharing systems
M Lowalekar, P Varakantham, S Ghosh, S Jena, P Jaillet
Proceedings of the International Conference on Automated Planning and …, 2017
492017
ZAC: A zone path construction approach for effective real-time ridesharing
M Lowalekar, P Varakantham, P Jaillet
Proceedings of the International Conference on Automated Planning and …, 2019
402019
Sampling based approaches for minimizing regret in uncertain Markov decision processes (MDPs)
A Ahmed, P Varakantham, M Lowalekar, Y Adulyasak, P Jaillet
Journal of Artificial Intelligence Research 59, 229-264, 2017
282017
Robust Influence Maximization
M Lowalekar, P Varakantham, A Kumar
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
252016
Competitive Ratios for Online Multi-capacity Ridesharing
M Lowalekar, P Varakantham, P Jaillet
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
232020
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing
M Lowalekar, P Varakantham, P Jaillet
Journal of Artificial Intelligence Research 70, 119-167, 2021
222021
Upping the game of taxi driving in the age of Uber
SS Jha, SF Cheng, M Lowalekar, N Wong, R Rajendram, TK Tran, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
172018
Security policy satisfiability and failure resilience in workflows
M Lowalekar, RK Tiwari, K Karlapalem
IFIP Summer School on the Future of Identity in the Information Society, 197-210, 2008
122008
CLAIM: curriculum learning policy for influence maximization in unknown social networks
D Li, M Lowalekar, P Varakantham
Uncertainty in Artificial Intelligence, 1455-1465, 2021
102021
Joint Pricing and Matching for City-Scale Ride-Pooling
S Shah, M Lowalekar, P Varakantham
Proceedings of the International Conference on Automated Planning and …, 2022
32022
FairVizARD: A Visualization System for Assessing Fairness of Ride-Sharing Matching Algorithms
A Kumar, S Shah, M Lowalekar, P Varakantham, A Ottley, W Yeoh
ICAPS System Demo, 2021
22021
RE-ORG: An Online Repositioning Guidance Agent
M Konda, P Varakantham, A Saxena, M Lowalekar
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
12019
Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach.
A Tyagi, M Lowalekar, P Paruchuri
VEHITS, 134-143, 2024
2024
Online spatio-Temporal demand supply matching
M LOWALEKAR
Singapore Management University, 2020
2020
A Driver Guidance System for Taxis in Singapore
SS Jha, SF Cheng, M Lowalekar, N Wong, R Rajendram, P Varakantham, ...
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
2018
CLAIM: Curriculum learning policy for influence maximization in unknown social networks.(2021)
D LI, M LOWALEKAR, P VARAKANTHAM
Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence …, 0
Robust influence maximization.(2016)
M LOWALEKAR, P VARAKANTHAM, A KUMAR
AAMAS'16: Proceedings of the 15th International Conference on Autonomous …, 0
A driver guidance system for taxis in Singapore.(2018)
SS JHA, SF CHENG, M LOWALEKAR, N WONG, R RAJENDRAM, ...
AAMAS'18: Proceedings of the 17th International Conference on Autonomous …, 0
The system can't perform the operation now. Try again later.
Articles 1–20