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ORCIDRajiv T. Maheswaran
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- affiliation: University of Southern California, Los Angeles, USA
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2010 – 2019
- 2014
[j7]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): 605-636 (2014)- [c67]Nibir Bora, Yu-Han Chang, Rajiv T. Maheswaran:
Mobility Patterns and User Dynamics in Racially Segregated Geographies of US Cities. SBP 2014: 11-18 - 2013
- [j6]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) - [c66]Nibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran:
Spatiotemporal Patterns in Social Networks. AAAI Fall Symposia 2013 - [c65]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 - [c64]Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu:
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED 2013: 657-660 - [c63]Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu:
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED Workshops 2013 - [c62]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: 965-972 - [c61]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: 1297-1298 - [c60]Anil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran:
An Interactive Web Based Spatio-Temporal Visualization System. ISVC (2) 2013: 673-680 - [c59]Eunkyung Kim, Ravi Iyer, Jesse Graham, Yu-Han Chang, Rajiv T. Maheswaran:
Moral Values from Simple Game Play. SBP 2013: 56-64 - [c58]Zhuoshu Li, Yu-Han Chang, Rajiv T. Maheswaran:
Graph Formation Effects on Social Welfare and Inequality in a Networked Resource Game. SBP 2013: 221-230 - [c57]Nibir Bora, Vladimir Zaytsev, Yu-Han Chang, Rajiv T. Maheswaran:
Gang Networks, Neighborhoods and Holidays: Spatiotemporal Patterns in Social Media. SocialCom 2013: 93-101 - [c56]Bowen Ni, Yu-Han Chang, Rajiv T. Maheswaran:
Social Welfare and Inequality in a Networked Resource Game with Human Players. SocialCom 2013: 967-970 - 2012
- [c55]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 - [c54]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 - [c53]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 - [c52]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: 21-28 - [c51]Sunil Mamidi, Yu-Han Chang, Rajiv T. Maheswaran:
Improving building energy efficiency with a network of sensing, learning and prediction agents. AAMAS 2012: 45-52 - [c50]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: 1295-1296 - [c49]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: 1297-1298 - [c48]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: 1299-1300 - [c47]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: 1455-1456 - [c46]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: 1505-1506 - [c45]Mahdi Azmandian, Karan Singh, Ben Gelsey, Yu-Han Chang, Rajiv T. Maheswaran:
Following Human Mobility Using Tweets. ADMI 2012: 139-149 - [c44]Spencer Frazier, Alex Newnan, Rajiv T. Maheswaran, Yu-Han Chang, Fotos Frangoudes:
TEAM-IT : Location-Based Gaming in Real and Virtual Environments. AIIDE 2012 - [c43]Eunkyung Kim, Yu-Han Chang, Rajiv T. Maheswaran, Yu Ning, Luyan Chi:
Agent Adaptation across Non-ideal Markets and Societies. AMEC/TADA 2012: 90-103 - [c42]James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus:
A Robust Approach to Addressing Human Adversaries in Security Games. ECAI 2012: 660-665 - [c41]Pedro A. Szekely, Yu-Han Chang, Rajiv T. Maheswaran, Yan Wang, Huihui Cheng, Karan Singh:
Interactive uncertainty analysis. IUI 2012: 269-272 - 2011
- [j5]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): 119-127 (2011) - [c40]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 - [c39]Yu-Han Chang, Rajiv T. Maheswaran, Tomer Levinboim, Vasudev Rajan:
Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games. AIIDE 2011 - [c38]Yu-Han Chang, Rajiv T. Maheswaran:
The social Ultimatum Game and adaptive agents. AAMAS 2011: 1313-1314 - [c37]Rajiv T. Maheswaran, Pedro A. Szekely, Romeo Sanchez:
Automated Adaptation of Strategic Guidance in Multiagent Coordination. PRIMA 2011: 247-262 - [c36]Eunkyung Kim, Luyan Chi, Yu-Han Chang, Rajiv T. Maheswaran:
Dynamics of Social Interactions in a Network Game. SocialCom/PASSAT 2011: 141-148 - 2010
- [c35]Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely:
Decision-support for real-time multi-agent coordination. AAMAS 2010: 1771-1772 - [c34]Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez, Pedro A. Szekely, Robert Neches:
Multi-agent systems for the real world. CTS 2010: 639-640
2000 – 2009
- 2009
- [c33]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: 1281-1282 - [c32]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: 1383-1388 - 2008
- [j4]Jonathan P. Pearce, Milind Tambe, Rajiv T. Maheswaran:
Solving Multiagent Networks using Distributed Constraint Optimization. AI Mag. 29(3): 47-62 (2008) - [c31]Rajiv T. Maheswaran, Pedro A. Szekely:
Criticality Metrics for Distributed Plan and Schedule Management. ICAPS 2008: 214-221 - [c30]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: 647-654 - [c29]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: 40-49 - [c28]Romeo Sanchez, Jing Jin, Rajiv T. Maheswaran, Pedro A. Szekely:
Interfaces for team coordination. IUI 2008: 427-428 - 2007
- [c27]Tim Harbers, Rajiv T. Maheswaran, Pedro A. Szekely:
Centralized, Distributed or Something Else? Making Timely Decisions in Multi-Agent Systems. AAAI 2007: 738-743 - [c26]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: 64-65 - [c25]Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanchez:
Distributed coordination in uncertain multiagent systems. AAMAS 2007: 216 - [c24]Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely:
VizScript: Visualizing Complex Interactions in Multi-Agent Systems. Interaction Challenges for Intelligent Assistants 2007: 64-65 - [c23]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: 2638-2644 - [c22]Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely:
VizScript: visualizing complex interactions in multi-agent systems. IUI 2007: 369-372 - 2006
- [j3]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): 27-60 (2006) - [j2]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): 1000-1009 (2006) - [c21]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: 136-142 - [c20]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
Solution sets for DCOPs and graphical games. AAMAS 2006: 577-584 - [c19]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: 1441-1442 - [c18]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
Solution Sets for DCOPs and Graphical Games: Metrics and Bounds. AI&M 2006 - 2005
- [c17]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: 60-67 - [c16]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Practical POMDPs for Personal Assistant Domains. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 68-75 - [c15]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: 3-10 - [c14]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Exploiting belief bounds: practical POMDPs for personal assistant agents. AAMAS 2005: 978-985 - [c13]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: 1030-1037 - [c12]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
How local is that optimum? k-optimality for DCOP. AAMAS 2005: 1303-1304 - [c11]Rajiv T. Maheswaran, Tamer Basar:
On Revenue Generation When Auctioning Network Resources. CDC/ECC 2005: 7466-7471 - [c10]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Implementation Techniques for Solving POMDPs in Personal Assistant Agents. PROMAS 2005: 76-89 - 2004
- [c9]Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Tambe:
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach. PDCS 2004: 432-439 - [c8]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: 310-317 - [c7]Rajiv T. Maheswaran, Tamer Basar:
Social welfare of selfish agents: motivating efficiency for divisible resources. CDC 2004: 1550-1555 - 2003
- [b1]Rajiv T. Maheswaran:
A Game Theoretic Analysis of Agent -Mediated Resource Allocation. University of Illinois Urbana-Champaign, USA, 2003 - [j1]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): 235-263 (2003) - [c6]Rajiv T. Maheswaran, Tamer Basar:
Coalition formation in proportionally fair divisible auctions. AAMAS 2003: 25-32 - [c5]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: 187-194 - [c4]Rajiv T. Maheswaran, Tamer Basar:
Equilibrium and negotiation in multiple resource auctions. CDC 2003: 5939-5944 - 2002
- [c3]Rajiv T. Maheswaran, Tamer Basar:
Auctions for Divisible Resources: Price Functions, Nash Equilibrium, and Decentralized Update Schemes. AMEC 2002: 87-102 - 2001
- [c2]Rajiv T. Maheswaran, Tamer Basar:
Decentralized network resource allocation as a repeated noncooperative market game. CDC 2001: 4565-4570 - [p1]Jonathan Bredin, David Kotz, Daniela Rus, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar:
A Market-Based Model for Resource Allocation in Agent Systems. Coordination of Internet Agents: Models, Technologies, and Applications 2001: 426-442 - 2000
- [c1]Jonathan Bredin, Rajiv T. Maheswaran, Çagri Imer, Tamer Basar, David Kotz, Daniela Rus:
A game-theoretic formulation of multi-agent resource allocation. Agents 2000: 349-356
Coauthor Index
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