Pradeep Varakantham

Lee Kuan Yew Fellow
Professor of Computer Science
School of Computing and Information Systems, Singapore Management University
Email: pradeepv(at)smu(dot)edu(dot)sg

Visiting Scholar, Center for Research on Computation and Society (CRCS) Harvard John A Paulson School of Engineering and Applied Sciences (SEAS)
Email: pradeep(at)seas(dot)harvard.edu

2024

“ Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training” by Wenjun Li and Pradeep Varakantham. AAAI, 2024.

“ Imitate the Good and Avoid the Bad: An incremental approach to Safe Reinforcement Learning” by Minh Huy Hoang, Mai Anh Tien and Pradeep Varakantham. AAAI, 2024.

“ Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively” by Jiang Hao, Mai Anh Tien, Pradeep Varakantham and Minh Huy Hoang. AAAI, 2024.

“ Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning” by Yuxiao Lu, Arunesh Sinha and Pradeep Varakantham. AAAI, 2024.

2023

“ Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning” by Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha and Pradeep Varakantham. NeurIPS, 2023.

“ Generalization through Diversity: Improving Unsupervised Environment Design” by Wenjun Li, Pradeep Varakantham and Dexun Li. IJCAI, 2023.

“ Transferable Curricula through Difficulty Conditioned Generators ” by Sidney Tio and Pradeep Varakantham. IJCAI, 2023.

“ Constrained Reinforcement Learning in Hard Exploration Problems ” by Pankayaraj Pathmanathan and Pradeep Varakantham. AAAI, 2023.

“ Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling ” by Xianjie Zhang, Pradeep Varakantham and Hao Jiang. AAAI, 2023.

“ Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning ” by Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar and Pradeep Varakantham. AAMAS, 2023.

“ Avoiding Starvation of Arms in Restless Multi-Armed Bandits” by Dexun Li and Pradeep Varakantham. AAMAS, 2023.

“ Strategic Planning for Flexible Agent Availability in Large Taxi Fleets ” by Rajiv Ranjan Kumar, Pradeep Varakantham and Shih-fen Cheng. AAMAS, 2023.

2022

“ Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health ” by Aditya Mate, Lovish Madan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, and Milind Tambe. AAAI, 2022.

“ Hierarchical Value Decomposition for Effective On-Demand Ride Pooling. ” by Hao Jiang and Pradeep Varakantham. AAMAS, 2022.

“ Joint Pricing and Matching for City-Scale Ride Pooling. ” by Sanket Shah, Meghna Lowalekar and Pradeep Varakantham. ICAPS, 2022.

“ Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits. ” by Dexun Li and Pradeep Varakantham. UAI, 2022.

2021

“ Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing ” by Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet. Journal of Artificial Intelligence Research (JAIR), 2021. JAIR Award Track

“ Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare ” by by Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham and Milind Tambe. International Joint Conference on Artificial Intelligence (IJCAI), 2021.

“ Zone pAth Construction (ZAC) based approaches for Effective Real-Time Ridesharing ” by by Meghna Lowalekar Pradeep Varakantham and Patrick Jaillet. International Joint Conference on Artificial Intelligence (IJCAI), 2021 Journal Track.

“ CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks ” by by Dexun Li, Meghna Lowalekar and Pradeep Varakantham . Uncertainty in Artificial Intelligence (UAI) 2021.

“ Adaptive Operating Hours for Improved Performance of Taxi Fleets ” by by Rajiv Ranjan Kumar, Pradeep Varakantham and Shih-Fen Cheng. Autonomous Agents and Multi-Agent Systems (AAMAS) 2021.

“ Learning Index Policies for Restless Bandits with Application to Maternal Healthcare ” by by Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham and Milind Tambe. Extended Abstract at Autonomous Agents and Multi-Agent Systems (AAMAS) 2021.

2020

“ Neural Approximate Dynamic Programming for On-Demand Ride-Pooling ” by Sanket Shah, Meghna Lowalekar and Pradeep Varakantham . Published in the Conference of Association for Advancement of AI, AAAI 2020.

“ Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning ” by Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault and Milind Tambe. Published in the Conference of Association for Advancement of AI, AAAI 2020.

“ Competitive Ratios for Online Multi-capacity Ridesharing ” by Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet. Published in International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020.

“ Online Traffic Signal Control through Sample Based Constraint Optimization ” by Srishti Dhamija, Alolika Gon, Pradeep Varakantham and William Yeoh. Published in International Conference on Automated Planning and Scheduling, ICAPS 2020.

2019

“ ZAC: A Zone Path Construction Approach for Effective Real-time Ridesharing ” by Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet. Published in International Conference on Automated Planning and Scheduling, ICAPS 2019. Best Application Paper award.

“ Resource Constrained Deep Reinforcement Learning ” by Abhinav Bhatia, Pradeep Varakantham and Akshat Kumar. Published in International Conference on Automated Planning and Scheduling, ICAPS 2019.

“ Correlated Learning for Aggregation Systems ” by Tanvi Verma and Pradeep Varakantham. Published in International Conference on Uncertainty in Artificial Intelligence, UAI 2019.

“ Entropy based Independent Learning in Anonymous Multi-Agent Settings ” by Tanvi Verma, Pradeep Varakantham and Hoong Chuin Lau. Published in International Conference on Automated Planning and Scheduling, ICAPS 2019.

2018

“ Online Spatio-Temporal Matching in Stochastic and Dynamic Domains ” by Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet. Published in Artificial Intelligence Journal (AIJ)

“ Dispatch Guided Allocation Optimization for Effective Emergency Response ” by Supriyo Ghosh and Pradeep Varakantham. Published at National Conference on Artificial Intelligence, AAAI-18

“ Decentralized Planning for Non-Dedicated Agent Teams with Submodular Rewards in Uncertain Environments ” by Pritee Agrawal, Pradeep Varakantham and William Yeoh. Accepted for publication at the conference on Uncertainty in Artificial Intelligence, UAI-18

“ Bounded Rank Optimization for Effective and Efficient Emergency Response ” by Pallavi Manohar, Pradeep Varakantham and Hoong Chuin Lau. Accepted for publication at the International Conference on Automated Planning and Scheduling, ICAPS-18

“ Reserved Optimization: Handling Incident Priorities in Emergency Response Systems ” by Muralidhar Konda, Supriyo Ghosh and Pradeep Varakantham. Accepted for publication at the International Conference on Automated Planning and Scheduling, ICAPS-18

“ Upping the game of taxi driving in the age of Uber ” by Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong Wai Hin, Rishikeshan Rajendram, Tran Trong Khiem, Pradeep Varakantham, Truong Trong Nghia and Firmansyah Rahman. Published at the conference on Innovative Applications of Artificial Intelligence (IAAI-18)

2017

“ Sampling based Approaches for Minimizing Regret in Uncertain Markov Decision Problems (MDPs) ”, by Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak and Patrick Jaillet. Accepted for Publication at Journal of Artificial Intelligence Research (JAIR) (PDF)

“Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems ”, by Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak and Patrick Jaillet. Accepted for Publication at Journal of Artificial Intelligence Research (JAIR) (PDF)

“Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments ”, by Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh. Accepted for Publication at Transactions on Intelligent Systems and Technology (TIST)
( PDF, Supplementary Material)

“Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments ”, by Pritee Agrawal and Pradeep Varakantham. Accepted for Publication at International Joint Conference on Artificial Intelligence, IJCAI-17(PDF)

“Mechanism Design for Strategic Project Scheduling ”, by Pradeep Varakantham and Na Fu . Accepted for Publication at International Joint Conference on Artificial Intelligence, IJCAI-17(PDF)

“Decentralized Planning in Stochastic Environments with Submodular Rewards ”, by Rajiv Ranjan Kumar, Pradeep Varakantham and Akshat Kumar. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-17 (PDF)

“Exploiting Anonymity and Homogeneity in Factored Dec-MDPs through Pre-computed Binomial Distributions ”, by Rajiv Ranjan Kumar and Pradeep Varakantham. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS-17 (PDF)

“Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems ”, by Supriyo Ghosh and Pradeep Varakantham. In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-17. (PDF)

“Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues ”, by Tanvi Verma, Pradeep Varakantham, Sarit Kraus and Hoong Chuin Lau. In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-17. (PDF)

“Online Repositioning in Bike Sharing Systems ”, by Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena and Patrick Jaillet. In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-17. (PDF)

“ Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation", by Pradeep Varakantham, Bo An, Bryan Low and Jie Zhang. Accepted for publication in AI Magazine. (PDF)

2016

“Sequential Decision Making for Improving Efficiency in Urban Environments ”, by Pradeep Varakantham . Accompanying paper for the Early Career Spotlight invited talk. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-16 (PDF)

“Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning ”, by Pritee Agrawal, Pradeep Varakantham and William Yeoh. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-16 (PDF)

“Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems ”, by Supriyo Ghosh, Michael Trick and Pradeep Varakantham. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-16 (PDF)

“Online Spatio-Temporal Matching in Stochastic and Dynamic Domains ”, by Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-16 (PDF)

“A Proactive Sampling Approach to Project Scheduling under Uncertainty ”, by Pradeep Varakantham, Na Fu and Hoong Chuin Lau. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-16 (PDF)

“Solving Risk Sensitive POMDPs With and Without Cost Observations ”, by Ping Hou, William Yeoh and Pradeep Varakantham. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-16 (PDF)

“Robust Decision Making for Stochastic Network Design ”, by Akshat Kumar, Arambam Singh, Pradeep Varakantham and Daniel Sheldon. In Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-16 (PDF)

“ Strategic Planning for Setting up Base Stations in Emergency Medical Systems ”, by Supriyo Ghosh and Pradeep Varakantham. In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-16.(PDF)

“Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty ”, by Na Fu, Pradeep Varakantham and Hoong Chuin Lau. In Proceedings of the International Conference on Automated Planning and Scheduling, ICAPS-16.(PDF)

“An Intelligent System for Personalized Conference Event Recommendation and Scheduling ”, by Aldy Gunawan, Hoong Chuin Lau, Pradeep Varakantham and Wenjie Wang. In Proceedings of the conference on Prestigious Applications of Intelligent Systems, PAIS that is colocated with European Conference on Artificial Intelligence, ECAI-16.

“Robust Influence Maximization ”, by Meghna Lowalekar, Pradeep Varakantham and Akshat Kumar. In Proceedings of International Conference on Agents and Multi-Agent Systems, AAMAS-16 (Short Paper).

“Detecting Communities using Coordination Games ”, by Radhika Arava and Pradeep Varakantham. In Proceedings of European Conference on Artificial Inelligence, ECAI-16 (Short Paper).

“NLU Framework for Voice Enabling Non-Native Applications on Smart Devices ”, by Soujanya Lanka, Deepika Pathania, Pooja Kushalappa and Pradeep Varakantham. In Proceedings of AAAI Conference on Artificial Intelligence, AAAI-16 (Demonstration Paper).

“PRESS: PeRsonalized Event Scheduling recommender System (Demo Paper) ”, by Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham and Wenjie Wang. In Proceedings of International Conference on Agents and Multi-Agent Systems, AAMAS-16 (Demonstration Paper).

2015

"DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems", by Pradeep Varakantham, Hala Mostafa, Na Fu and Hoong Chuin Lau. In Proceedings of the Joint Conference of Autonomous Agents and Multi-Agent Systems, AAMAS-15 ( PDF) 


"Near-Optimal Decentralized Power Supply Restoration in Smart Grids", by Pritee Agrawal, Akshat Kumar and Pradeep Varakantham. In Proceedings of the Joint Conference of Autonomous Agents and Multi-Agent Systems, AAMAS-15 ( PDF) 


“Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs”, by Supriyo Ghosh, Akshat Kumar and Pradeep Varakantham. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-15 (PDF)

"Risk based Optimization for Improving Emergency Medical Systems", by Sandhya Saisubramanian, Pradeep Varakantham and Hoong Chuin Lau. In Proceedings of Twenty Ninth AAAI Conference on Artificial Intelligence, AAAI-15 ( PDF) 


"Solving Uncertain MDPs with Objectives that are Separable over Instantiations of Model Uncertainty", by Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed and Patrick Jaillet. In Proceedings of Twenty Ninth AAAI Conference on Artificial Intelligence, AAAI-15 ( PDF) 


"Robust Execution Strategies for Project Scheduling under Unreliable Resources and Stochastic Durations;", by Na Fu , Hoong Chuin Lau and Pradeep Varakantham. Accepted for publication in Journal of Scheduling. (PDF) 


"Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems", by Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, and Patrick Jaillet. In Proceedings of International Conference on Automated Planning and Scheduling, ICAPS-15( PDF) 


"An Extended Study on Addressing Defender Teamwork while Accounting for Uncertainty in Attacker Defender Games using Iterative Dec-MDPs ", by Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. In the journal of Multiagent and Grid Systems. ( PDF) 


"Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems ", by William Yeoh, Pradeep Varakantham, Xiaoxun Sun and Sven Koenig. In Proceedings of Intelligent Agent Technology, IAT-15( PDF) 


"Learning and Controlling Network Diffusion in Dependent Cascade Models ", by Jiali Du, Pradeep Varakantham, Akshat Kumar and Shih-Fen Cheng. In Proceedings of Intelligent Agent Technology, IAT-15( PDF) 


2014

"Decentralized Stochastic Planning with Anonymity in Interactions", by Pradeep Varakantham, Yossiri Adulyasak and Patrick Jaillet. In Proceedings of Twenty Eighth AAAI Conference on Artificial Intelligence, AAAI-14,(PDF) 


"STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation", by Matthew Brown, Sandhya Saisubmramanian, Pradeep Varakantham and Milind Tambe. In Proceedings of Innovative Applications in Artificial Intelligence (IAAI) at Twenty Eighth AAAI Conference on Artificial Intelligence, AAAI-14,(PDF) 


"Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork", by Eric Shieh, Albert Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. In Proceedings of Twenty First European Conference on Artificial Intelligence, ECAI-14,(PDF) 


"Revisiting Risk-Sensitive MDPs: New Algorithms and Results;", by Ping Hou, William Yeoh and Pradeep Varakantham. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS-14). (PDF) 


"On Understanding Diffusion Dynamics of Patrons at a Theme Park;", by Jiali Du, Akshat Kumar and Pradeep Varakantham. Extended abstract in the Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14).(PDF) 


"Building THINC: User Incentivization and Meeting Rescheduling for Energy Savings;", by Jun Young Kwak, Debarun Kar, William haskell, Pradeep Varakantham, Milind Tambe. Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14). (PDF) 


2013

"Regret based Robust Solutions for Uncertain Markov Decision Processes;", by Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak and Patrick Jaillet. In Proceedings of the conference on Neural Information Processing Systems (NIPS-13). (PDF,   Supplement) 


"Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems;", by Pradeep Varakantham and Akshat Kumar. In Proceedings of the Conference on Algorithmic Decision Theory (ADT-13). (PDF) 


"TESLA: An Extended Study of an Energy-saving Agent that Leverages Schedule Flexibility;", by Jun Young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber and Wendy Wood. In the Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS). (PDF) 


"Scalable Randomized Patrolling for Securing Rapid Transit Networks;", by Pradeep Varakantham, Lau Hoong Chuin and Zhi Yuan. In Proceedings of the Conference on Innovative Applications in Artificial Intelligence (IAAI) at the National Conference on Artificial Intelligence (AAAI-13). (PDF) 


"TESLA: An Energy-saving Agent that Leverages Schedule Flexibility;", by Jun Young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber and Wendy Wood. In Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-13). (PDF) 


"Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks;", by Pradeep Varakantham, Fu Na, William Yeoh, Shih-Fen Cheng and Lau Hoong Chuin. In Proceedings of the Conference on Algorithmic Decision Theory (ADT). (PDF) 


"Marginal Contribution Stochastic Games for Dynamic Resource Allocation: Bounds and Convergence;", by Archie Chapman and Pradeep Varakantham. In the workshop on Optimization in Multi-Agent Systems (OptMAS) at the International Conference on Autonomus Agents and Multi-Agent Systems(AAMAS-13). 


"An Agent-Based Approach to Dynamic Experience Management in Theme Parks;", by Shih-Fen Cheng, Larry Lin, Jiali Du, Lau Hoong Chuin and Pradeep Varakantham. In the Winter Simulation Conference (WSC-13). 


"Interacting Knapsack Problem in Designing Resource Bundles;", by Truong Huy Nguyen, Pradeep Varakantham,Lau Hoong Chuin and Shih-Fen Cheng. In the Metaheuristics International Confeence (MIC-13). 


2012

"Lagrangian Relaxation for Large-Scale Multi-Agent Planning;", by Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan and Shih-Fen Cheng. In Proceedings of the International Conference on Intelligent Agent Technology (IAT-2012). (PDF) 


"Uncertain Congestion Games with Assorted Human Agent Populations", by Asrar Ahmed, Pradeep Varakantham and Shih-Fen Cheng. Twenty Eighth International Conference on Uncertainty in Artificial Intelligence (UAI-2012). (PDF) (Acceptance Rate: 31%)


"Dynamic Stochastic Orienteering Problems for Risk-Aware Applications", by William Yeoh, Lau Hoong Chuin, Pradeep Varakantham, Huaxing Chen and Duc Thien Nguyen. Twenty Eighth International Conference on Uncertainty in Artificial Intelligence (UAI-2012). (PDF) (Acceptance Rate: 31%)

"Robust Local Search for Solving RCPSP/max with Durational Uncertainty", by Na Fu, Lau Hoong Chuin Pradeep Varakantham, and Xiao Fei. Journal of Artificial Intelligence Research (JAIR).(PDF)


"Decision Support for Agent Populations in Uncertain and Congested Environments", by Pradeep Varakantham, Shih-Fen Cheng, Geoff Gordon and Asrar Ahmed. Twenty Sixth Conference on Artificial Intelligence (AAAI-2012). (PDF) (Acceptance Rate: 26%)


"Active Malware Analysis using Stochastic Games", by Simon Williamson, Pradeep Varakantham, Debin Gao and Chen Hui Ong. Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012). (PDF) (Acceptance Rate: 20%)


"SAVES: A Sustainable Multi-Agent Application to Conserve Building Energy Considering Applicants", by Jun-Young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes and Wendy Wood. Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012). (PDF) (Acceptance Rate: 20%)


"Lagrangian Relaxation for Large Scale Multi-Agent Planning", by Geoff Gordon, Pradeep Varakantham, William Yeoh, Lau Hoong Chuin, Ajay Srinivasan and Cheng Shih-Fen. Poster paper in Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012). (PDF) (Acceptance Rate: 22%)


"Delayed Observation Planning in Partially Observable Domains", by Pradeep Varakantham and Janusz Marecki. Poster paper in Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012). (PDF) (Acceptance Rate: 22%)


"Prioritized Shaping of Models for Solving DEC-POMDPs", by Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia Sycara and Paul Scerri. Poster paper in Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012). (PDF) (Acceptance Rate: 22%)


"Sustainable Multiagent Application to Conserve Energy" by Jun-Young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes and Wendy Wood. Demonstration paper at Eleventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2012).


Coordinating Occupant Behavior for Building Energy and Comfort Management using Multi-Agent Systems. Laura Klein, Jun-Young Kwak, Geoffrey Kavulya, Farookh Jazizadeh, Burcin Bercerik-Gerber, Pradeep Varakantham and Milind Tambe. Automation in Construction: An International Research Journal (To Appear).

2011

"Towards Optimal Planning for Distributed Coordination Under Uncertainty in Energy Domains", by Jun-young Kwak, Pradeep Varakantham, Milind Tambe, Laura Klein, Farrokh Jazizadeh, Geoffrey Kavulya, Burcin B. Gerber and David J. Gerber. In AAMAS Workshop on Agent Technologies for Energy Systems (ATES), May, 2011 


"Decision Support in Organizations: A Case for OrgPOMDPs", by Pradeep Varakantham, Nathan Schurr, Alan Carlin and Christopher Amato. Accepted for publication in the proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT). (PDF) (Acceptance Rate: 21%) 


"Social Model Shaping for Solving Generic DEC-POMDPs", by Pradeep Varakantham. Accepted for publication in the proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT). (PDF) (Acceptance Rate: 21%) 


"Distributed Model Shaping for Scaling to Decentralized POMDPs with hundreds of agents", by Prasanna Velagapudi, Pradeep Varakantham, Paul Scerri and Katia Sycara. Accepted for publication in the proceedings of the Tenth International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS). (PDF) (Acceptance Rate: 22%) 


"Decentralized Decision Support for an agent population in dynamic and uncertain domains", by Pradeep Varakantham, Shih-Fen Cheng and Thi Duong Nguyen. Poster paper in proceedings of the Tenth International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS). (PDF) (Acceptance Rate: 23%)


"Adaptive Decision Support for Structured Organizations: A Case for OrgPOMDPs", by Pradeep Varakantham, Nathan Schurr, Alan Carlin and Christopher Amato. Poster paper in proceedings of the Tenth International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS). (PDF) (Acceptance Rate: 23%) 


"Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems", by William Yeoh, Pradeep Varakantham, Xiaoxun Sun and Sven Koenig. Poster paper in proceedings of the Tenth International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS). (PDF) (Acceptance Rate: 23%) 


2010

"A Decision Theoretic Approach to Data Leakage Prevention", by Janusz Marecki, Mudhakar Srivastava and Pradeep Varakantham. 2010, Proceedings of the Second IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT2010). (PDF) (Acceptance Rate: 13%)


"Effect of human biases on human-agent teams", by Praveen Paruchuri, Pradeep Varakantham, Katia Sycara and Paul Scerri, 2010, Proceedings of the International Conference on Intelligent Agent Technology (IAT), Toronto, Canada. (PDF) (Acceptance Rate: 18.8%)

"Analyzing the impact of human bias on human-agent teams in resource allocation", by Praveen Paruchuri, Pradeep Varakantham, Katia Sycara, and Paul Scerri, 2010, Poster Paper in Proceedings of Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS), Toronto, Canada. (PDF) (Acceptance Rate: 18%)

"Risk-Sensitive Planning in Partially Observable Domains", by Janusz Marecki and Pradeep Varakantham, 2010, Proceedings of the Ninth International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Toronto, Canada. (PDF) (Acceptance Rate: 23.9%)


"Towards Finding Robust Execution Strategies for RCPSP with Durational Uncertainty", by Na Fu, Pradeep Varakantham, and Hoong Chuin Lau, 2010, Proceedings of the Twentieth International Conference on Automated Planning and Scheduling (ICAPS). (PDF) (Acceptance Rate: 34%)


"Introducing Communication in Dis-POMDPs with Locality of Interaction", by Makoto Tasaki, Yuichi Yabu, Yuki Iwanuri, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, Milind Tambe, 2010, Journal of Web Intelligence and Agent Systems(WIAS), 2010 Vol. 8, No. 3 pp 8.

2009

"Caching Schemes for DCOP Search Algorithms", by William Yeoh, Pradeep Varakantham, and Sven Koenig, 2009, Proceedings of the Eighth International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. Nominated for Jay Modi Best Student Paper Award. (PDF) (Acceptance Rate: 22%)


"Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping", by Pradeep Varakantham, Jun Young Kwak, Matthew Taylor, Janusz Marecki, Paul Scerri, and Milind Tambe. Proceedings of the Nineteenth International Conference on Automated Planning and Scheduling (ICAPS), Thessaloniki, Greece from Sept 19-23, 2009. (PDF) (Acceptance Rate: 34%)


2008

"Linear Relaxation Techniques for Task Management in Uncertain Settings", by Pradeep Varakantham and Stephen Smith, 2008, Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, ICAPS. (PDF) (Acceptance Rate: 31.2%)


"Introducing Communication in Dis-POMDPs with Locality of Interaction", by Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Milind Tambe, Janusz Marecki and Pradeep Varakantham, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-2008), 2008. (PDF) (Acceptance Rate: 19%)


"Not All Agents are Equal: Scaling up Distributed POMDPs for Agent Networks", by Tapana Gupta, Janusz Marecki, Pradeep Varakantham, and Makoto Yokoo, 2008, Proceedings of the Seventh International Conference on Autonomous Agents and MultiAgent Systems, AAMAS. (PDF) (Acceptance Rate: 22%)


"What went wrong and why", by Milind Tambe, Emma Bowring, Jonathan Pearce, Pradeep Varakantham, David Pynadath, and Paul Scerri, 2008, AI Magazine Article.

2004-2007

"Towards efficient planning for real world partially observable domains", by Pradeep Varakantham , Dissertation for Doctor of Philosophy in Computer Science, University of Southern California, Los Angeles, CA, 02/2007.

"Letting loose a SPIDER on a network of POMDPs: Generating quality guranteed policies", by Pradeep Varakantham, Janusz Marecki, Makoto Yokoo, and Milind Tambe, 2007. Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi Agent Systems, AAMAS. (PDF) (Acceptance Rate: 22.8%)


"Towards efficient computation of quality bounded solutions in POMDPs", by Pradeep Varakantham, Rajiv Maheswaran, Tapana Gupta, and Milind Tambe, 2007, Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI. (PDF) (Acceptance Rate: 15.7%)


"Winning back the CUP for Distributed POMDPs: Planning over continuous belief spaces", by Pradeep Varakantham, Ranjit Nair, Milind Tambe, and Makoto Yokoo, 2006. Proceedings of the Fifth International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. (PDF) (Acceptance Rate: 23.1%)


"Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications", by Rajiv Maheswaran, Jonathan Pearce, Emma Bowring, Pradeep Varakantham, and Milind Tambe, 2006, Journal of Autonomous Agents and Multi-Agent Systems, JAAMAS.


"Hybrids in Multiagent Teamwork", by Praveen Paruchuri, Emma Bowring, Ranjit Nair, Jonathan Pearce, Nathan Schurr, Milind Tambe, Pradeep Varakantham, and Rajiv Maheswaran, 2006, 19-24, Communications of the Computer Society of India. (PDF)


"Exploiting Belief Bounds: Practical POMDPs for Personal Assistant Agents", by Pradeep Varakantham, Rajiv Maheswaran, and Milind Tambe, 2005, Proceedings of the Fourth International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. (PDF) (Acceptance Rate: 24.5%)


"Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs", by Ranjit Nair, Pradeep Varakantham, Milind Tambe, and Makoto Yokoo, 2005, Proceedings of the Twentieth National Conference on Artificial Intelligence, AAAI. (PDF) (Acceptance Rate: 18.4%)


"Valuations of Possible States (VPS): A Unifying Quantitative Framework for Evaluating Privacy in Collaboration", by Rajiv Maheswaran, Jonathan Pearce, Pradeep Varakantham, Emma Bowring, and Milind Tambe, 2005, Proceedings of the Fourth International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. (PDF) (Acceptance Rate: 24.5%)


"Conflicts in teamwork: Hybrids to the rescue", by Milind Tambe, Emma Bowring, Hyuckchul Jung, Gal Kaminka, Rajiv Maheswaran, Janusz Marecki, Pragnesh Modi, Ranjit Nair, Jonathan Pearce, and Pradeep Varakantham, 2005, Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. (PDF) 


"Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Event Scheduling", by Rajiv Maheswaran, Milind Tambe, Emma Bowring, Jonathan Pearce, and Pradeep Varakantham, 2004, Proceedings of the Third International Conference on Autonomous Agents and Multi Agent Systems, AAMAS. (PDF) (Acceptance Rate: 24.6%)