Rajiv T. Maheswaran

Publication Activity (10 Years)

Years Active: 2000-2014
Publications (10 Years): 0

Top Topics

Spatiotemporal Patterns

Top Venues

AAAI Fall Symposia

Publications

Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility. Auton. Agents Multi Agent Syst. 28 (4) (2014)
Nibir Bora, Yu-Han Chang, Rajiv T. Maheswaran
Mobility Patterns and User Dynamics in Racially Segregated Geographies of US Cities. SBP (2014)
Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus
Modeling human adversary decision making in security games: an initial report. AAMAS (2013)
Anil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran
An Interactive Web Based Spatio-Temporal Visualization System. ISVC (2) (2013)
Spencer Frazier, Chao Huang, Sarit Kraus, Yu-Han Chang, Rajiv T. Maheswaran
Adaptive Agent for Player-Specific Fitness and Health Incentives in Mobile Location Based Games. AAAI Spring Symposium: Data Driven Wellness (2013)
Eunkyung Kim, Ravi Iyer, Jesse Graham, Yu-Han Chang, Rajiv T. Maheswaran
Moral Values from Simple Game Play. SBP (2013)
Nibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran
Gang Networks, Neighborhoods and Holidays: Spatiotemporal Patterns in Social Media. SocialCom (2013)
Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED Workshops (2013)
Marc Spraragen, Peter M. Landwehr, Balakrishnan Ranganathan, Michael Zyda, Kathleen M. Carley, Yu-Han Chang, Rajiv T. Maheswaran
Cosmopolis: A Massively Multiplayer Online Game for Social and Behavioral Research. J. Artif. Soc. Soc. Simul. 16 (1) (2013)
Bowen Ni, Yu-Han Chang, Rajiv T. Maheswaran
Social Welfare and Inequality in a Networked Resource Game with Human Players. SocialCom (2013)
Zhuoshu Li, Yu-Han Chang, Rajiv T. Maheswaran
Graph Formation Effects on Social Welfare and Inequality in a Networked Resource Game. SBP (2013)
Nibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran
Spatiotemporal Patterns in Social Networks. AAAI Fall Symposia (2013)
Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED (2013)
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood
TESLA: an energy-saving agent that leverages schedule flexibility. AAMAS (2013)
Spencer Frazier, Alex Newnan, Yu-Han Chang, Rajiv T. Maheswaran
Team-It: location-based mobile games for multi-agent coordination and negotiation (demonstration). AAMAS (2012)
Spencer Frazier, Alex Newnan, Rajiv T. Maheswaran, Yu-Han Chang, Fotos Frangoudes
TEAM-IT : Location-Based Gaming in Real and Virtual Environments. AIIDE (2012)
Eunkyung Kim, Luyan Chi, Yu Ning, Yu-Han Chang, Rajiv T. Maheswaran
Adaptive negotiating agents in dynamic games: outperforming human behavior in diverse societies. AAMAS (2012)
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood
SAVES: a sustainable multiagent application to conserve building energy considering occupants. AAMAS (2012)
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood
Sustainable multiagent application to conserve energy (demonstration). AAMAS (2012)
Pedro A. Szekely, Yu-Han Chang, Rajiv T. Maheswaran, Yan Wang, Huihui Cheng, Karan Singh
Interactive uncertainty analysis. IUI (2012)
James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Rong Yang, Sarit Kraus
A robust approach to addressing human adversaries in security games. AAMAS (2012)
Mahdi Azmandian, Karan Singh, Ben Gelsey, Yu-Han Chang, Rajiv T. Maheswaran
Following Human Mobility Using Tweets. ADMI (2012)
Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran
Designing better strategies against human adversaries in network security games. AAMAS (2012)
Eunkyung Kim, Yu-Han Chang, Rajiv T. Maheswaran, Yu Ning, Luyan Chi
Agent Adaptation across Non-ideal Markets and Societies. AMEC/TADA (2012)
Sunil Mamidi, Yu-Han Chang, Rajiv T. Maheswaran
Improving building energy efficiency with a network of sensing, learning and prediction agents. AAMAS (2012)
Sunil Mamidi, Yu-Han Chang, Rajiv T. Maheswaran
Adaptive Learning Agents for Sustainable Building Energy Management. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health (2012)
James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus
A Robust Approach to Addressing Human Adversaries in Security Games. ECAI (2012)
Thanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe
Security Games on Social Networks. AAAI Fall Symposium: Social Networks and Social Contagion (2012)
Jason Loewy, Yu-Han Chang, Rajiv T. Maheswaran
TrackIt: A Team-Based Application for Health and Wellness Monitoring. AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness (2012)
Mark Buller, Paul Cuddihy, Ernest Davis, Patrick Doherty, Finale Doshi-Velez, Esra Erdem, Douglas H. Fisher, Nancy L. 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
Reports of the AAAI 2011 Spring Symposia. AI Mag. 32 (3) (2011)
Yu-Han Chang, Rajiv T. Maheswaran
The social Ultimatum Game and adaptive agents. AAMAS (2011)
Rajiv T. Maheswaran, Pedro A. Szekely, Romeo Sanchez
Automated Adaptation of Strategic Guidance in Multiagent Coordination. PRIMA (2011)
Eunkyung Kim, Luyan Chi, Yu-Han Chang, Rajiv T. Maheswaran
Dynamics of Social Interactions in a Network Game. SocialCom/PASSAT (2011)
Rajiv T. Maheswaran, Nathan Schurr, Pedro A. Szekely
Organizing Committee. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration (2011)
Yu-Han Chang, Rajiv T. Maheswaran, Tomer Levinboim, Vasudev Rajan
Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games. AIIDE (2011)
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely
Decision-support for real-time multi-agent coordination. AAMAS (2010)
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely, Robert Neches
Multi-agent systems for the real world. CTS (2010)
Harris Chi Ho Chiu, Bo Ryu, Hua Zhu, Pedro A. Szekely, Rajiv T. Maheswaran, Craig Milo Rogers, Aram Galstyan, Behnam Salemi, Michael Rubenstein, Wei-Min Shen
TENTACLES: Self-configuring robotic radio networks in unknown environments. IROS (2009)
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely, Gergely Gati, Kevin Smyth, Chris VanBuskirk
Multi-agent systems for the real world. AAMAS (2) (2009)
Rajiv T. Maheswaran, Pedro A. Szekely
Criticality Metrics for Distributed Plan and Schedule Management. ICAPS (2008)
Jonathan P. Pearce, Milind Tambe, Rajiv T. Maheswaran
Solving Multiagent Networks using Distributed Constraint Optimization. AI Mag. 29 (3) (2008)
Jing Jin, Romeo Sanchez, Rajiv T. Maheswaran, Pedro A. Szekely
VizScript: on the creation of efficient visualizations for understanding complex multi-agent systems. IUI (2008)
Romeo Sanchez, Jing Jin, Rajiv T. Maheswaran, Pedro A. Szekely
Interfaces for team coordination. IUI (2008)
Rajiv T. Maheswaran, Pedro A. Szekely, Marcel Becker, Stephen Fitzpatrick, Gergely Gati, Jing Jin, Robert Neches, Narges Noori, Craig Milo Rogers, Romeo Sanchez, Kevin Smyth, Chris VanBuskirk
Predictability & criticality metrics for coordination in complex environments. AAMAS (2) (2008)
Tim Harbers, Rajiv T. Maheswaran, Pedro A. Szekely
Centralized, Distributed or Something Else? Making Timely Decisions in Multi-Agent Systems. AAAI (2007)
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez
Distributed coordination in uncertain multiagent systems. AAMAS (2007)
Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs. IJCAI (2007)
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely
VizScript: Visualizing Complex Interactions in Multi-Agent Systems. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants (2007)
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely
VizScript: Visualizing Complex Interactions in Multi-Agent Systems. Interaction Challenges for Intelligent Assistants (2007)
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely
VizScript: visualizing complex interactions in multi-agent systems. IUI (2007)
Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe
Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications. Auton. Agents Multi Agent Syst. 13 (1) (2006)
Rajiv T. Maheswaran, Tamer Basar
Efficient signal proportional allocation (ESPA) mechanisms: decentralized social welfare maximization for divisible resources. IEEE J. Sel. Areas Commun. 24 (5) (2006)
Pedro A. Szekely, Marcel Becker, Stephen Fitzpatrick, Gergely Gati, Dávid Hanák, Jing Jin, Gabor Karsai, Rajiv T. Maheswaran, Robert Neches, Craig Milo Rogers, Romeo Sanchez, Christopher P. van Buskirk
CSC: Criticality-Sensitive Coordination. AAMAS (2006)
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
Solution Sets for DCOPs and Graphical Games: Metrics and Bounds. AI&M (2006)
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
Solution sets for DCOPs and graphical games. AAMAS (2006)
Pedro 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
An Examination of Criticality-Sensitive Approaches to Coordination. AAAI Spring Symposium: Distributed Plan and Schedule Management (2006)
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
Practical POMDPs for Personal Assistant Domains. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI (2005)
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
-optimality for DCOP. AAMAS (2005)
Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI (2005)
Milind 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
Conflicts in teamwork: hybrids to the rescue. AAMAS (2005)
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
Implementation Techniques for Solving POMDPs in Personal Assistant Agents. PROMAS (2005)
Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe
Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agents. AAMAS (2005)
Rajiv T. Maheswaran, Tamer Basar
On Revenue Generation When Auctioning Network Resources. CDC/ECC (2005)
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
Exploiting belief bounds: practical POMDPs for personal assistant agents. AAMAS (2005)
Rajiv T. Maheswaran, Tamer Basar
Social welfare of selfish agents: motivating efficiency for divisible resources. CDC (2004)
Rajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling. AAMAS (2004)
Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Tambe
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach. PDCS (2004)
Rajiv T. Maheswaran, Tamer Basar
Equilibrium and negotiation in multiple resource auctions. CDC (2003)
Jonathan Bredin, David Kotz, Daniela Rus, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar
Computational Markets to Regulate Mobile-Agent Systems. Auton. Agents Multi Agent Syst. 6 (3) (2003)
Rajiv T. Maheswaran, Tamer Basar
Coalition formation in proportionally fair divisible auctions. AAMAS (2003)
Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen L. Myers
Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper. Agents and Computational Autonomy (2003)
Rajiv T. Maheswaran, Tamer Basar
Auctions for Divisible Resources: Price Functions, Nash Equilibrium, and Decentralized Update Schemes. AMEC (2002)
Rajiv T. Maheswaran, Tamer Basar
Decentralized network resource allocation as a repeated noncooperative market game. CDC (2001)
Jonathan Bredin, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar, David Kotz, Daniela Rus
A game-theoretic formulation of multi-agent resource allocation. Agents (2000)