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ORCIDPraveen Paruchuri
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2020 – today
- 2024
[c49]Megha Bose, Praveen Paruchuri, Akshat Kumar:
Factored MDP based Moving Target Defense with Dynamic Threat Modeling. AAMAS 2024: 2165-2167- [c48]Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri:
Preserving the Privacy of Reward Functions in MDPs through Deception. ECAI 2024: 2146-2153 - [c47]Akanksha Tyagi, Meghna Lowalekar, Praveen Paruchuri:
Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach. VEHITS 2024: 134-143 - [i9]Shashank Reddy Chirra, Pradeep Varakantham
, Praveen Paruchuri:
Safety through feedback in Constrained RL. CoRR abs/2406.19626 (2024) - [i8]Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman:
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR abs/2407.01310 (2024) - [i7]Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri:
Preserving the Privacy of Reward Functions in MDPs through Deception. CoRR abs/2407.09809 (2024) - [i6]Megha Bose, Praveen Paruchuri, Akshat Kumar:
A Factored MDP Approach To Moving Target Defense With Dynamic Threat Modeling and Cost Efficiency. CoRR abs/2408.08934 (2024) - 2023
- [c46]Shreevignesh Suriyanarayanan, Praveen Paruchuri, Girish Varma:
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC. AAAI 2023: 14496-14503 - [c45]Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein:
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. AAAI 2023: 15144-15151 - [c44]Shreevignesh Suriyanarayanan, Praveen Paruchuri, Girish Varma:
City-scale Pollution Aware Traffic Routing by Sampling Multiple Max Flows Using MCMC. ITSC 2023: 1542-1548 - [i5]Vignesh Viswanathan, Megha Bose, Praveen Paruchuri:
Learning Effective Strategies for Moving Target Defense with Switching Costs. CoRR abs/2301.09892 (2023) - [i4]Shreevignesh Suriyanarayanan, Praveen Paruchuri, Girish Varma:
City-scale Pollution Aware Traffic Routing by Sampling Max Flows using MCMC. CoRR abs/2302.14442 (2023) - 2022
- [j6]Kuntal Chattopadhyay, Vishal Garg, Praveen Paruchuri, Jyotirmay Mathur, Srinivas Valluri:
Impact of COVID-19 on energy consumption in a residential complex in Hyderabad, India. Energy Inform. 5 (2022) - [c43]Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar:
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. AAAI 2022: 8009-8016 - [c42]Anoop Karnik Dasika, Praveen Paruchuri:
CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance. AAAI 2022: 12475-12481 - [c41]Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar:
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. AAMAS 2022: 1569-1571 - [c40]Vignesh Viswanathan, Megha Bose, Praveen Paruchuri:
Moving Target Defense under Uncertainty for Web Applications. AAMAS 2022: 1750-1752 - [c39]Sanjay Chandlekar, Bala Suraj Pedasingu, Easwar Subramanian, Sanjay Bhat, Praveen Paruchuri, Sujit Gujar:
VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids. IJCAI 2022: 158-164 - [i3]Sanjay Chandlekar, Easwar Subramanian, Sanjay P. Bhat, Praveen Paruchuri, Sujit Gujar:
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids. CoRR abs/2201.10127 (2022) - 2021
- [c38]Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran:
An Enhanced Advising Model in Teacher-Student Framework using State Categorization. AAAI 2021: 6653-6660 - [c37]Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Akshat Kumar:
Action Selection for Composable Modular Deep Reinforcement Learning. AAMAS 2021: 565-573 - [c36]Srivathsa Gottipati, Praveen Paruchuri:
A Genetic Algorithm Approach to Compute Mixed Strategy Solutions for General Stackelberg Games. CEC 2021: 1648-1655 - [c35]Srivathsa Gottipati, Praveen Paruchuri:
A genetic algorithm approach to compute mixed strategy solutions for general Stackelberg games. GECCO Companion 2021: 223-224 - [c34]Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri:
Cooperative Monitoring of Malicious Activity in Stock Exchanges. PAKDD (Workshops) 2021: 121-132 - [i2]Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar:
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. CoRR abs/2112.05495 (2021) - 2020
- [c33]Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy. AAAI 2020: 1974-1981 - [c32]Aditya Srinivas Gear, Kritika Prakash, Nonidh Singh, Praveen Paruchuri:
PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value. GDN 2020: 135-148 - [c31]Sai Naveen Pucha, Praveen Paruchuri:
Inferring Personality Types for Better Automated Negotiation. GDN 2020: 149-162 - [c30]Sai Krishna Munnangi, Praveen Paruchuri:
Improving Wildlife Monitoring using a Multi-criteria Cooperative Target Observation Approach. HICSS 2020: 1-10 - [c29]Anoop Karnik Dasika, Praveen Paruchuri:
An Ensemble Learning Approach to Improve Tracking Accuracy of Multi Sensor Fusion. ICONIP (5) 2020: 704-712 - [c28]Sreeja Kamishetty, Praveen Paruchuri:
Towards a Better Management of Emergency Evacuation using Pareto Min Cost Max Flow Approach. VEHITS 2020: 237-244
2010 – 2019
- 2019
- [c27]Susobhan Ghosh, Easwar Subramanian, Sanjay P. Bhat, Sujit Gujar, Praveen Paruchuri:
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition. AAAI 2019: 914-921 - [c26]Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs. AAAI 2019: 6054-6061 - [c25]Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran:
Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework. AAMAS 2019: 1997-1999 - [i1]Susobhan Ghosh, Sujit Gujar, Praveen Paruchuri, Easwar Subramanian, Sanjay P. Bhat:
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy (Extended Version). CoRR abs/1911.08260 (2019) - 2018
- [c24]Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Planning and Learning for Decentralized MDPs with Event Driven Rewards. AAAI Workshops 2018: 665 - [c23]Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Planning and Learning for Decentralized MDPs With Event Driven Rewards. AAAI 2018: 6186-6194 - [c22]Praveen Paruchuri, Sujit Gujar:
Fusion of Game Theory and Big Data for AI Applications. BDA 2018: 55-69 - [c21]Gaurav Gupta, Sreeja Kamishetty, Praveen Paruchuri:
A Prioritized Routing Assistant for Flow of Traffic. ITSC 2018: 3627-3632 - 2017
- [c20]Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri:
Improving Surveillance Using Cooperative Target Observation. AAAI 2017: 2985-2991 - 2016
- [c19]Akash Agarwal, Praveen Paruchuri:
Analysis of Lane Level Dynamics for Emergency Vehicle Traversal: (Extended Abstract). AAMAS 2016: 1389-1390 - [c18]Gaurav Gupta, Praveen Paruchuri:
Effect of human behavior on traffic patterns during an emergency. ITSC 2016: 2052-2058 - [c17]Akash Agarwal, Praveen Paruchuri:
V2V communication for analysis of lane level dynamics for better EV traversal. Intelligent Vehicles Symposium 2016: 368-375 - 2015
- [j5]Garimella Uma, Praveen Paruchuri:
(HR)^2: An Agent for Helping HR with Recruitment. Int. J. Agent Technol. Syst. 7(3): 67-85 (2015) - 2011
- [c16]Roie Zivan, Miroslav Dudík, Praveen Paruchuri, Katia P. Sycara:
Maximizing revenue in symmetric resource allocation systems when user utilities exhibit diminishing returns. AAMAS 2011: 1165-1166 - [c15]Steven Okamoto, Praveen Paruchuri, Yonghong Wang, Katia P. Sycara, Janusz Marecki, Mudhakar Srivatsa:
Multiagent Communication Security in Adversarial Settings. IAT 2011: 296-303 - 2010
- [j4]Christopher Kiekintveld, Janusz Marecki, Praveen Paruchuri, Katia P. Sycara:
Editor's Introduction to the Special Issue on Quantitative Risk Analysis Techniques for Security Applications. Informatica (Slovenia) 34(2): 127-128 (2010) - [c14]Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri:
Analyzing the impact of human bias on human-agent teams in resource allocation domains. AAMAS 2010: 1593-1594 - [c13]Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri:
Effect of Human Biases on Human-Agent Teams. IAT 2010: 327-334
2000 – 2009
- 2009
- [j3]James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
Using Game Theory for Los Angeles Airport Security. AI Mag. 30(1): 43-57 (2009) - [j2]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Coordinating randomized policies for increasing security of agent systems. Inf. Technol. Manag. 10(1): 67-79 (2009) - [p1]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Coordinating Randomized Policies for Increasing Security in Multiagent Systems. Safety and Security in Multiagent Systems 2009: 191-207 - 2008
- [j1]Manish Jain, James Pita, Milind Tambe, Fernando Ordóñez, Praveen Paruchuri, Sarit Kraus:
Bayesian stackelberg games and their application for security at Los Angeles international airport. SIGecom Exch. 7(2) (2008) - [c12]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications. AAAI 2008: 1559-1562 - [c11]James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
ARMOR Security for Los Angeles International Airport. AAAI 2008: 1884-1885 - [c10]Praveen Paruchuri, Preetam Maloor, Bob Pokorny, Aaron Mannes, Jennifer Golbeck:
Cultural Modeling in a Game Theoretic Framework. AAAI Fall Symposium: Adaptive Agents in Cultural Contexts 2008: 43 - [c9]James Pita, Manish Jain, Janusz Marecki, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport. AAMAS (Industry Track) 2008: 125-132 - [c8]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games. AAMAS (2) 2008: 895-902 - 2007
- [c7]Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
An Efficient Heuristic for Security against Multiple Adversaries in Stackelberg Games. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents 2007: 38-46 - [c6]Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
An efficient heuristic approach for security against multiple adversaries. AAMAS 2007: 181 - 2006
- [c5]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Security in multiagent systems by policy randomization. AAMAS 2006: 273-280 - [c4]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Security in Multiagent Systems by Policy Randomization. AI&M 2006 - 2005
- [c3]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 - 2004
- [c2]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Towards a Formalization of Teamwork with Resource Constraints. AAMAS 2004: 596-603 - 2002
- [c1]Praveen Paruchuri, Alok Reddy Pullalarevu, Kamalakar Karlapalem:
Multi agent simulation of unorganized traffic. AAMAS 2002: 176-183
Coauthor Index
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