| 2025 | ECAI | Inferring Hidden Behavioral Signatures of Cyber Adversaries Using Inverse Reinforcement Learning. | Aditya Shinde, Prashant Doshi |
| 2025 | ICRA | A Novel Computational Framework of Robot Trust for Human-Robot Teams. | Bhavana Nare, John Frericks, Anusha Challa, Prashant Doshi, Kyle Johnsen |
| 2025 | IROS | Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario. | Tyson Jordan, Pranav Pandey, Prashant Doshi, Ramviyas Parasuraman, Adam Goodie |
| 2025 | RO-MAN | Integrating Perceptions: A Human-Centered Physical Safety Model for Human-Robot Interaction. | Pranav Pandey, Ramviyas Parasuraman, Prashant Doshi |
| 2025 | UAI | MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems. | Gayathri Anil, Prashant Doshi, Daniel Redder, Adam Eck, Leen-Kiat Soh |
| 2025 | UAI | Adaptive Human-Robot Collaboration using Type-Based IRL. | Prasanth Sengadu Suresh, Prashant Doshi, Bikramjit Banerjee |
| 2024 | IROS | Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. | Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres |
| 2024 | PRICAI | IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health. | Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe |
| 2024 | PRIMA | Robust Individualistic Learning in Many-Agent Systems. | Keyang He, Prashant Doshi, Bikramjit Banerjee |
| 2022 | CoRL | Online Inverse Reinforcement Learning with Learned Observation Model. | Saurabh Arora, Prashant Doshi, Bikramjit Banerjee |
| 2022 | UAI | Reinforcement learning in many-agent settings under partial observability. | Keyang He, Prashant Doshi, Bikramjit Banerjee |
| 2022 | UAI | Decision-theoretic planning with communication in open multiagent systems. | Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh |
| 2022 | UAI | Marginal MAP estimation for inverse RL under occlusion with observer noise. | Prasanth Sengadu Suresh, Prashant Doshi |
| 2021 | AAAI | A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots. | Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu Hyung Lee |
| 2021 | IJCAI | State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability. | Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti |
| 2021 | ICRA | Min-Max Entropy Inverse RL of Multiple Tasks. | Saurabh Arora, Prashant Doshi, Bikramjit Banerjee |
| 2020 | AAAI | Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. | Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh |
| 2020 | ICRA | SA-Net: Robust State-Action Recognition for Learning from Observations. | Nihal Soans, Ehsan Asali, Yi Hong, Prashant Doshi |
| 2019 | AAAI | Model-Free IRL Using Maximum Likelihood Estimation. | Vinamra Jain, Prashant Doshi, Bikramjit Banerjee |
| 2019 | UAI | Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones. | Adithya Raam Sankar, Prashant Doshi, Adam Goodie |
| 2018 | IROS | Inverse Learning of Robot Behavior for Collaborative Planning. | Maulesh Trivedi, Prashant Doshi |
| 2017 | AAAI | On Markov Games Played by Bayesian and Boundedly-Rational Players. | Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| 2017 | ICRA | A layered HMM for predicting motion of a leader in multi-robot settings. | Sina Solaimanpour, Prashant Doshi |
| 2017 | UAI | Robust Model Equivalence using Stochastic Bisimulation for N-Agent Interactive DIDs. | Muthukumaran Chandrasekaran, Junhuan Zhang, Prashant Doshi, Yifeng Zeng |
| 2016 | AAAI | Bayesian Markov Games with Explicit Finite-Level Types. | Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| 2016 | AAAI | Bayesian Markov Games with Explicit Finite-Level Types. | Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi |
| 2016 | AAAI | Decision Sum-Product-Max Networks. | Mazen Melibari, Pascal Poupart, Prashant Doshi |
| 2016 | IJCAI | Sum-Product-Max Networks for Tractable Decision Making. | Mazen Melibari, Pascal Poupart, Prashant Doshi |
| 2016 | UAI | Individual Planning in Open and Typed Agent Systems. | Muthukumaran Chandrasekaran, Adam Eck, Prashant Doshi, Leenkiat Soh |
| 2015 | ICAART | Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures. | Fadel Adoe, Yingke Chen, Prashant Doshi |
| 2015 | ICAART | Speeding up Planning in Multiagent Settings Using CPU-GPU Architectures. | Fadel Adoe, Yingke Chen, Prashant Doshi |
| 2015 | IJCAI | Toward Estimating Others' Transition Models Under Occlusion for Multi-Robot IRL. | Kenneth D. Bogert, Prashant Doshi |
| 2015 | IROS | Localization and tracking under extreme and persistent sensory occlusion. | Kedar Marathe, Prashant Doshi |
| 2014 | CogSci | A Portal Designed to Learn about Educational Robotics. | ChanMin Kim, Prashant Doshi, Chi N. Thai, Dongho Kim, Jiangmei Yuan |
| 2014 | ISAIM | Behavioral Modeling of Sequential Bargaining Games: Fairness and Limited Backward Induction. | Xia Qu, Prashant Doshi |
| 2013 | IJCAI | Bimodal Switching for Online Planning in Multiagent Settings. | Ekhlas Sonu, Prashant Doshi |
| 2013 | SMC | On Modeling Human Learning in Sequential Games with Delayed Reinforcements. | Roi Ceren, Prashant Doshi, Matthew Meisel, Adam Goodie, Dan Hall |
| 2012 | AAAI | Improved Convergence of Iterative Ontology Alignment using Block-Coordinate Descent. | Uthayasanker Thayasivam, Prashant Doshi |
| 2012 | AAMAS | Modeling deep strategic reasoning by humans in competitive games. | Xia Qu, Prashant Doshi, Adam Goodie |
| 2012 | AAMAS | Generalized and bounded policy iteration for finitely-nested interactive POMDPs: scaling up. | Ekhlas Sonu, Prashant Doshi |
| 2012 | AAMAS | GaTAC: a scalable and realistic testbed for multiagent decision making (demonstration). | Ekhlas Sonu, Prashant Doshi |
| 2012 | ISAIM | Modeling Deep Strategic Reasoning by Humans in Competitive Games. | Xia Qu, Prashant Doshi, Adam Goodie |
| 2012 | ISAIM | Generalized and Bounded Policy Iteration for Interactive POMDPs. | Ekhlas Sonu, Prashant Doshi |
| 2011 | AAAI | Utilizing Partial Policies for Identifying Equivalence of Behavioral Models. | Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo |
| 2010 | ISAIM | Approximate solutions of interactive dynamic influence diagrams using ε-behavioral equivalence. | Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng |
| 2010 | ICSOC | Risk Sensitive Value of Changed Information for Selective Querying of Web Services. | John Harney, Prashant Doshi |
| 2009 | IJCAI | Speeding Up Exact Solutions of Interactive Dynamic Influence Diagrams Using Action Equivalence. | Yifeng Zeng, Prashant Doshi |
| 2009 | ICWS | Selective Querying for Adapting Hierarchical Web Service Compositions Using Aggregate Volatility. | John Harney, Prashant Doshi |
| 2009 | ICWS | Integrating Behavioral Trust in Web Service Compositions. | Sharon Paradesi, Prashant Doshi, Sonu Swaika |
| 2009 | ICWS | Towards Automated RESTful Web Service Composition. | Haibo Zhao, Prashant Doshi |
| 2008 | AAAI | Generalized Point Based Value Iteration for Interactive POMDPs. | Prashant Doshi, Dennis Perez |
| 2008 | ISAIM | Approximate Solutions of Interactive POMDPs Using Point Based Value Iteration. | Dennis Perez, Prashant Doshi |
| 2008 | WWW | Speeding up web service composition with volatile external information. | John Harney, Prashant Doshi |
| 2008 | WWW | Speeding up web service composition with volatile information. | John Harney, Prashant Doshi |
| 2008 | WWW | Making BPEL flexible: adapting in the context of coordination constraints using WS-BPEL. | Yunzhou Wu, Prashant Doshi |
| 2007 | AAAI | Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces. | Prashant Doshi |
| 2007 | AAAI | Approximate Solutions of Interactive Dynamic Influence Diagrams Using Model Clustering. | Yifeng Zeng, Prashant Doshi, Qiongyu Chen |
| 2007 | ICWS | Improved Adaptation of Web Service Compositions Using Value of Changed Information. | Girish Chafle, Prashant Doshi, John Harney, Sumit Mittal, Biplav Srivastava |
| 2007 | ICWS | Haley: A Hierarchical Framework for Logical Composition ofWeb Services. | Haibo Zhao, Prashant Doshi |
| 2007 | WWW | Speeding up adaptation of web service compositions using expiration times. | John Harney, Prashant Doshi |
| 2006 | AAAI | On the Difficulty of Achieving Equilibrium in Interactive POMDPs. | Prashant Doshi, Piotr J. Gmytrasiewicz |
| 2006 | AAAI | Inexact Matching of Ontology Graphs Using Expectation-Maximization. | Prashant Doshi, Christopher Thomas |
| 2006 | ISAIM | On the Difficulty of Achieving Equilibrium in Interactive POMDPs. | Prashant Doshi, Piotr J. Gmytrasiewicz |
| 2006 | ICSOC | Adaptive Web Processes Using Value of Changed Information. | John Harney, Prashant Doshi |
| 2006 | ICSOC | A Hierarchical Framework for Composing Nested Web Processes. | Haibo Zhao, Prashant Doshi |
| 2006 | ICWS | Optimal Adaptation in Web Processes with Coordination Constraints. | Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth |
| 2005 | AAAI | A Particle Filtering Based Approach to Approximating Interactive POMDPs. | Prashant Doshi, Piotr J. Gmytrasiewicz |
| 2004 | AAAI | A Framework for Optimal Sequential Planning in Multiagent Settings. | Prashant Doshi |
| 2004 | ISAIM | A Framework for Sequential Planning in Multi-Agent Settings. | Piotr J. Gmytrasiewicz, Prashant Doshi |
| 2004 | ICWS | Dynamic Workflow Composition using Markov Decision Processes. | Prashant Doshi, Richard Goodwin, Rama Akkiraju, Kunal Verma |
| 2003 | FlAIRS | Using Bayesian Networks for Cleansing Trauma Data. | Prashant Doshi, Lloyd G. Greenwald, John R. Clarke |
| 2003 | IJCAI | A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI. | Rama Akkiraju, Richard Goodwin, Prashant Doshi, Sascha Roeder |