Pradeep Varakantham
机构: Professor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing and
主页: mysmu.edu.sg
每年引用次数
引用次数
引用: 4,247
H-指数: 36
I10-指数 : 78
出版物: 231
Bounded rank optimization for effective and efficient emergency response
Pradeep Varakantham , Hoong Chuin Lau , Pallavi Madhusudan Manohar
international conference on automated planning and scheduling 375 -382
2018
A Driver Guidance System for Taxis in Singapore
Pradeep Varakantham , Shashi Shekhar Jha , Shih-Fen Cheng , Meghna Lowalekar
adaptive agents and multi-agents systems 1820 -1822
2018
Resource Constrained Deep Reinforcement Learning
Pradeep Varakantham , Akshat Kumar , Abhinav Bhatia
arXiv: Learning
24
2018
Leveraging artificial intelligence to capture the Singapore rideshare market
Pradeep Varakantham
2018
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses
Pradeep Varakantham , Shih-Fen Cheng , Chung-Kyun Han
adaptive agents and multi-agents systems 2003 -2005
2019
RE-ORG: An Online Repositioning Guidance Agent
Pradeep Varakantham , Meghna Lowalekar , Muralidhar Konda , Aayush Saxena
adaptive agents and multi-agents systems 2369 -2371
2019
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing
Pradeep Varakantham , Patrick Jaillet , Meghna Lowalekar
international conference on automated planning and scheduling 29 528 -538
8
2019
Entropy Based Independent Learning in Anonymous Multi-Agent Settings
Pradeep Varakantham , Hoong Chuin Lau , Tanvi Verma
international conference on automated planning and scheduling 29 655 -663
2
2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling.
Pradeep Varakantham , Meghna Lowalekar , Sanket Shah
arXiv: Computers and Society
45
2019
On Solving Cooperative MARL Problems with a Few Good Experiences
Pradeep Varakantham , Rajiv Ranjan Kumar
arXiv: Learning
2020
ON SOLVING COOPERATIVE DECENTRALIZED MARL PROBLEMS WITH SPARSE REINFORCEMENTS
Pradeep Varakantham , Rajiv Ranjan Kumar
2019
Closing the data-decisions loop: Deploying artificial intelligence for dynamic resource management
Pradeep Varakantham
7 ( 1) 28
2020
Online Traffic Signal Control through Sample-Based Constrained Optimization
Pradeep Varakantham , William Yeoh , Srishti Dhamija , Alolika Gon
international conference on automated planning and scheduling 30 366 -374
2020
Zone pAth Construction (ZAC) based approaches for effective real-time ridesharing
Pradeep Varakantham , Patrick Jaillet , Meghna Lowalekar
Journal of Artificial Intelligence Research 70 119 -167
2021
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.
Pradeep Varakantham , Balaraman Ravindran , Milind Tambe , Divy Thakkar
arXiv: Learning
2
2021
Introducing communication to joint policy search algorithm for networked distributed POMDPs
Pradeep Varakantham , Janusz Marecki , Makoto Tasaki , Yuichi Yabu
Computer Software 25 ( 4) 226 -237
2008
Exploiting belief bounds: practical POMDPs for personal assistant agents
Pradeep Varakantham , Rajiv Maheswaran , Milind Tambe
adaptive agents and multi-agents systems 978 -985
33
2005
Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agents
Rajiv T. Maheswaran , Jonathan P. Pearce , Pradeep Varakantham , Emma Bowring
adaptive agents and multi-agents systems 1030 -1037
35
2005
Proactive and reactive coordination of non-dedicated agent teams operating in uncertain environments
Pritee Agrawal , Pradeep Varakantham
international joint conference on artificial intelligence 28 -34
5
2017