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Profile Name

rajivtmaheswaran

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Publications: 2
Edited: 0

Aliases

R. T. Maheswaran
Rajiv T. Maheswaran
Maheswaran, Rajiv T.
Maheswaran
Maheswaran, R. T.

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Rajiv T. Maheswaran's Profile

Publications

Unidentified Publications

Publications with a 'Rajiv T. Maheswaran' as author, editor, or advisor:

CSC: Criticality-Sensitive CoordinationPedro A. Szekely, Marcel Becker, Stephen Fitzpatrick, Gergely Gati, David Hanak, Jing Jin, Gabor Karsai, Rajiv T. Maheswaran, Robert Neches, Craig Milo Rogers, Romeo Sanchez, Christopher P. van Buskirk. atal 2006: 1441-1442 [doi]
Automated Adaptation of Strategic Guidance in Multiagent CoordinationRajiv T. Maheswaran, Pedro A. Szekely, Romeo Sanchez. prima 2011: 247-262 [doi]
Adaptive negotiating agents in dynamic games: outperforming human behavior in diverse societiesEunkyung Kim, Luyan Chi, Yu Ning, Yu-Han Chang, Rajiv T. Maheswaran. atal 2012: 1295-1296 [doi]
Analysis of Emotion and Engagement in a STEM Alternate Reality GameYu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu. aied 2013: 657-660 [doi]
VizScript: Visualizing Complex Interactions in Multi-Agent SystemsJing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely. icia 2007: 64-65
Mobility Patterns and User Dynamics in Racially Segregated Geographies of US CitiesNibir Bora, Yu-Han Chang, Rajiv T. Maheswaran. sbp 2014: 11-18 [doi]
TESLA: an extended study of an energy-saving agent that leverages schedule flexibilityJun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood. AAMAS, 28(4):605-636, 2014. [doi]
Gang Networks, Neighborhoods and Holidays: Spatiotemporal Patterns in Social MediaNibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran. socialcom 2013: 93-101 [doi]
Efficient signal proportional allocation (ESPA) mechanisms: decentralized social welfare maximization for divisible resourcesRajiv T. Maheswaran, Tamer Basar. jsac, 24(5):1000-1009, 2006. [doi]
Distributed Algorithms for DCOP: A Graphical-Game-Based ApproachRajiv T. Maheswaran, Jonathan P. Pearce, Milind Tambe. ISCApdcs 2004: 432-439
Improving building energy efficiency with a network of sensing, learning and prediction agentsSunil Mamidi, Yu-Han Chang, Rajiv T. Maheswaran. atal 2012: 45-52 [doi]
Multi-agent systems for the real worldRajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely, Robert Neches. cts 2010: 639-640 [doi]
Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its ApplicationsRajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe. AAMAS, 13(1):27-60, 2006. [doi]
How local is that optimum? ::::k::::-optimality for DCOPJonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe. atal 2005: 1303-1304 [doi]
Graph Formation Effects on Social Welfare and Inequality in a Networked Resource GameZhuoshu Li, Yu-Han Chang, Rajiv T. Maheswaran. sbp 2013: 221-230 [doi]
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive BeliefsPradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe. IJCAI 2007: 2638-2644 [doi]
TENTACLES: Self-configuring robotic radio networks in unknown environmentsHi Cchi H. Chiu, Bo Ryu, Hua Zhu, Pedro A. Szekely, Rajiv T. Maheswaran, Craig Milo Rogers, Aram Galstyan, Behnam Salemi, Michael Rubenstein, Wei-Min Shen. iros 2009: 1383-1388 [doi]
Solving Multiagent Networks using Distributed Constraint OptimizationJonathan P. Pearce, Milind Tambe, Rajiv T. Maheswaran. aim, 29(3):47-62, 2008. [doi]
Reports of the AAAI 2011 Spring SymposiaMark Buller, Paul Cuddihy, Ernest Davis, Patrick Doherty, Finale Doshi-Velez, Esra Erdem, Douglas H. Fisher, Nancy Green, Knut Hinkelmann, Mary Lou Maher, James McLurkin, Rajiv T. Maheswaran, Sara Rubinelli, Nathan Schurr, Donia Scott, Dylan A. Shell, Pedro A. Szekely, Barbara Thönssen, Arnold B. Urken. aim, 32(3):119-127, 2011. [doi]
Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agentsRajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe. atal 2005: 1030-1037 [doi]
Moral Values from Simple Game PlayEunkyung Kim, Ravi Iyer, Jesse Graham, Yu-Han Chang, Rajiv T. Maheswaran. sbp 2013: 56-64 [doi]
Security Games on Social NetworksThanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe. aaaifs 2012: [doi]
Cosmopolis: A Massively Multiplayer Online Game for Social and Behavioral ResearchMarc Spraragen, Peter Landwehr, Balakrishnan Ranganathan, Michael Zyda, Kathleen Carley, Yu-Han Chang, Rajiv T. Maheswaran. jasss, 16(1), 2013. [doi]
The social Ultimatum Game and adaptive agentsYu-Han Chang, Rajiv T. Maheswaran. atal 2011: 1313-1314 [doi]
A game-theoretic formulation of multi-agent resource allocationJonathan Bredin, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar, David Kotz, Daniela Rus. agents 2000: 349-356 [doi]
Equilibrium and negotiation in multiple resource auctionsRajiv T. Maheswaran, Tamer Basar. cdc 2003: 5939-5944 [doi]
A Market-Based Model for Resource Allocation in Agent SystemsJonathan Bredin, David Kotz, Daniela Rus, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar. In Coordination of Internet Agents: Models, Technologies, and Applications. pages 426-442, 2001.
Learning and Evaluating Human-Like NPC Behaviors in Dynamic GamesYu-Han Chang, Rajiv T. Maheswaran, Tomer Levinboim, Vasudev Rajan. aiide 2011: [doi]
Interactive uncertainty analysisPedro A. Szekely, Yu-Han Chang, Rajiv T. Maheswaran, Yan Wang, Huihui Cheng, Karan Singh. IUI 2012: 269-272 [doi]
Implementation Techniques for Solving POMDPs in Personal Assistant AgentsPradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe. promas 2006: 76-89 [doi]
A Game Theoretic Analysis of Agent -Mediated Resource AllocationRajiv T. Maheswaran. PhD thesis, University of Illinois Urbana-Champaign, USA, 2003. [doi]
Designing better strategies against human adversaries in network security gamesRong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran. atal 2012: 1299-1300 [doi]
Adaptive Learning Agents for Sustainable Building Energy ManagementSunil Mamidi, Yu-Han Chang, Rajiv T. Maheswaran. aaaiss 2012: [doi]
Practical POMDPs for Personal Assistant DomainsPradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe. aaaiss 2005: 68-75 [doi]
Exploiting belief bounds: practical POMDPs for personal assistant agentsPradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe. atal 2005: 978-985 [doi]
SAVES: a sustainable multiagent application to conserve building energy considering occupantsJun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood. atal 2012: 21-28 [doi]
An Interactive Web Based Spatio-Temporal Visualization SystemAnil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran. isvc 2013: 673-680 [doi]
Interfaces for team coordinationRomeo Sanchez, Jing Jin, Rajiv T. Maheswaran, Pedro A. Szekely. IUI 2008: 427-428 [doi]
Auctions for Divisible Resources: Price Functions, Nash Equilibrium, and Decentralized Update SchemesRajiv T. Maheswaran, Tamer Basar. amec 2002: 87-102 [doi]
Spatiotemporal Patterns in Social NetworksNibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran. aaaifs 2013: [doi]
VizScript: Visualizing Complex Interactions in Multi-Agent SystemsJing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely. aaaiss 2007: 64-65 [doi]
Solution Sets for DCOPs and Graphical Games: Metrics and BoundsJonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe. isaim 2006: [doi]
TESLA: an energy-saving agent that leverages schedule flexibilityJun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood. atal 2013: 965-972 [doi]
TEAM-IT : Location-Based Gaming in Real and Virtual EnvironmentsSpencer Frazier, Alex Newnan, Rajiv T. Maheswaran, Yu-Han Chang, Fotos Frangoudes. aiide 2012: [doi]
TrackIt: A Team-Based Application for Health and Wellness MonitoringJason Loewy, Yu-Han Chang, Rajiv T. Maheswaran. aaaiss 2012: [doi]
Modeling human adversary decision making in security games: an initial reportThanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus. atal 2013: 1297-1298 [doi]
Centralized, Distributed or Something Else? Making Timely Decisions in Multi-Agent SystemsTim Harbers, Rajiv T. Maheswaran, Pedro A. Szekely. AAAI 2007: 738-743
Decentralized network resource allocation as a repeated noncooperative market gameRajiv T. Maheswaran, Tamer Basar. cdc 2001: 4565-4570 [doi]
Decision-support for real-time multi-agent coordinationRajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely. atal 2010: 1771-1772 [doi]
VizScript: visualizing complex interactions in multi-agent systemsJing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely. IUI 2007: 369-372 [doi]
Analysis of Emotion and Engagement in a STEM Alternate Reality GameYu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu. aied 2013: [doi]
Dynamics of Social Interactions in a Network GameEunkyung Kim, Luyan Chi, Yu-Han Chang, Rajiv T. Maheswaran. socialcom 2011: 141-148 [doi]
Following Human Mobility Using TweetsMahdi Azmandian, Karan Singh, Ben Gelsey, Yu-Han Chang, Rajiv T. Maheswaran. admi 2013: 139-149 [doi]
Criticality Metrics for Distributed Plan and Schedule ManagementRajiv T. Maheswaran, Pedro A. Szekely. aips 2008: 214-221
Adaptive Agent for Player-Specific Fitness and Health Incentives in Mobile Location Based GamesSpencer Frazier, Chao Huang, Sarit Kraus, Yu-Han Chang, Rajiv T. Maheswaran. aaaiss 2013: [doi]
Social welfare of selfish agents: motivating efficiency for divisible resourcesRajiv T. Maheswaran, Tamer Basar. cdc 2006: 1550-1555 [doi]
Computational Markets to Regulate Mobile-Agent SystemsJonathan Bredin, David Kotz, Daniela Rus, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar. AAMAS, 6(3):235-263, 2003. [doi]
Sustainable multiagent application to conserve energy (demonstration)Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood. atal 2012: 1455-1456 [doi]
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant AgentsRajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe. aaaiss 2005: 60-67 [doi]
Coalition formation in proportionally fair divisible auctionsRajiv T. Maheswaran, Tamer Basar. atal 2003: 25-32 [doi]
Organizing CommitteeRajiv T. Maheswaran, Nathan Schurr, Pedro A. Szekely. aaaiss 2011: [doi]
Social Welfare and Inequality in a Networked Resource Game with Human PlayersBowen Ni, Yu-Han Chang, Rajiv T. Maheswaran. socialcom 2013: 967-970 [doi]
Conflicts in teamwork: hybrids to the rescueMilind Tambe, Emma Bowring, Hyuckchul Jung, Gal A. Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh Jay Modi, Ranjit Nair, Stephen Okamoto, Jonathan P. Pearce, Praveen Paruchuri, David V. Pynadath, Paul Scerri, Nathan Schurr, Pradeep Varakantham. atal 2005: 3-10 [doi]
Agent Adaptation across Non-ideal Markets and SocietiesEunkyung Kim, Yu-Han Chang, Rajiv T. Maheswaran, Yu Ning, Luyan Chi. amec 2013: 90-103 [doi]
A robust approach to addressing human adversaries in security gamesJames Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Rong Yang, Sarit Kraus. atal 2012: 1297-1298 [doi]
A Robust Approach to Addressing Human Adversaries in Security GamesJames Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus. ecai 2012: 660-665 [doi]
Adjustable Autonomy Challenges in Personal Assistant Agents: A Position PaperRajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen L. Myers. atal 2004: 187-194 [doi]
Team-It: location-based mobile games for multi-agent coordination and negotiation (demonstration)Spencer Frazier, Alex Newnan, Yu-Han Chang, Rajiv T. Maheswaran. atal 2012: 1505-1506 [doi]
VizScript: on the creation of efficient visualizations for understanding complex multi-agent systemsJing Jin, Romeo Sanchez, Rajiv T. Maheswaran, Pedro A. Szekely. IUI 2008: 40-49 [doi]
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event SchedulingRajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham. atal 2004: 310-317 [doi]
Distributed coordination in uncertain multiagent systemsRajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez. atal 2007: 216 [doi]
Solution sets for DCOPs and graphical gamesJonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe. atal 2006: 577-584 [doi]
An Examination of Criticality-Sensitive Approaches to CoordinationPedro A. Szekely, Rajiv T. Maheswaran, Robert Neches, Craig Milo Rogers, Romeo Sanchez, Marcel Becker, Stephen Fitzpatrick, Gergely Gati, Dávid Hanák, Gabor Karsai, Christopher P. van Buskirk. aaaiss 2006: 136-142 [doi]
On Revenue Generation When Auctioning Network ResourcesRajiv T. Maheswaran, Tamer Basar. cdc 2005: 7466-7471 [doi]

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