| Online spatio-temporal matching in stochastic and dynamic domains M Lowalekar, P Varakantham, P Jaillet Artificial Intelligence 261, 71-112, 2018 | 106 | 2018 |
| 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 | 93 | 2020 |
| 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 | 49 | 2017 |
| 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 | 40 | 2019 |
| 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 | 28 | 2017 |
| Robust Influence Maximization M Lowalekar, P Varakantham, A Kumar Proceedings of the 2016 International Conference on Autonomous Agents …, 2016 | 25 | 2016 |
| Competitive Ratios for Online Multi-capacity Ridesharing M Lowalekar, P Varakantham, P Jaillet Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 23 | 2020 |
| 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 | 22 | 2021 |
| 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 | 16 | 2018 |
| 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 | 12 | 2008 |
| CLAIM: curriculum learning policy for influence maximization in unknown social networks D Li, M Lowalekar, P Varakantham Uncertainty in Artificial Intelligence, 1455-1465, 2021 | 10 | 2021 |
| 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 | 3 | 2022 |
| 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 | 2 | 2021 |
| 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 | 1 | 2019 |
| 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 | | |
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andVerified email at smu.edu.sg
