| 2026 | HCI | Learning to Navigate (L2N): A Human-Centered Framework for Local Code Search. | Shahnewaz Leon, Zhengdong Zhang, Prasad Tadepalli, Sandeep Kaur Kuttal |
| 2025 | AAAI | Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios. | Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern |
| 2024 | ACL | Language-Informed Beam Search Decoding for Multilingual Machine Translation. | Yilin Yang, Stefan Lee, Prasad Tadepalli |
| 2024 | ICML | Adversarial Attacks on Combinatorial Multi-Armed Bandits. | Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao |
| 2023 | AAAI | Global Explanations for Image Classifiers (Student Abstract). | Bhavan K. Vasu, Prasad Tadepalli |
| 2022 | FUSION | Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. | Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan |
| 2021 | AAAI | PAC Learning of Causal Trees with Latent Variables. | Prasad Tadepalli, Stuart J. Russell |
| 2021 | EMNLP | Improving Multilingual Translation by Representation and Gradient Regularization. | Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan |
| 2021 | ICLR | DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs. | Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern |
| 2020 | AAAI | The Choice Function Framework for Online Policy Improvement. | Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli |
| 2020 | ACL | Relation Extraction with Explanation. | Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli |
| 2020 | AIES | Conservative Agency via Attainable Utility Preservation. | Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli |
| 2020 | EMNLP | On the Sub-Layer Functionalities of Transformer Decoder. | Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu |
| 2019 | IJCAI | Conservative Agency. | Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli |
| 2019 | IUI | Interactive Naming for Explaining Deep Neural Networks: A Formative Study. | Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli |
| 2019 | NAACL | Saliency Learning: Teaching the Model Where to Pay Attention. | Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli |
| 2019 | NAACL | Description-Based Zero-shot Fine-Grained Entity Typing. | Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli |
| 2019 | WSC | Optimizing Earth Moving Operations Via Reinforcement Learning. | Vivswan Shitole, Joseph Louis, Prasad Tadepalli |
| 2018 | COLING | Dependent Gated Reading for Cloze-Style Question Answering. | Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli |
| 2018 | COLING | Joint Neural Entity Disambiguation with Output Space Search. | Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Mohammad Obeidat, Prasad Tadepalli |
| 2018 | EMNLP | Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. | Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli |
| 2018 | EMNLP | Event Detection with Neural Networks: A Rigorous Empirical Evaluation. | John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern |
| 2018 | IJCAI | Emergency Response Optimization using Online Hybrid Planning. | Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern |
| 2017 | AAAI | Hindsight Optimization for Hybrid State and Action MDPs. | Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern |
| 2017 | ACML | Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. | Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern |
| 2017 | ALT | Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. | Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli |
| 2016 | ACL | Event Nugget Detection with Forward-Backward Recurrent Neural Networks. | Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli |
| 2015 | AAAI | Factored MCTS for Large Scale Stochastic Planning. | Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli |
| 2015 | AAAI | Learning Greedy Policies for the Easy-First Framework. | Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli |
| 2015 | IJCAI | Multitask Coactive Learning. | Robby Goetschalckx, Alan Fern, Prasad Tadepalli |
| 2015 | IJCAI | Active Imitation Learning of Hierarchical Policies. | Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern |
| 2015 | UAI | Memory-Effcient Symbolic Online Planning for Factored MDPs. | Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern |
| 2014 | AAAI | HC-Search for Multi-Label Prediction: An Empirical Study. | Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli |
| 2014 | AAAI | Coactive Learning for Locally Optimal Problem Solving. | Robby Goetschalckx, Alan Fern, Prasad Tadepalli |
| 2014 | AAAI | Imitation Learning with Demonstrations and Shaping Rewards. | Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx |
| 2014 | AAAI | Learning Scripts as Hidden Markov Models. | John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich |
| 2014 | EMNLP | Prune-and-Score: Learning for Greedy Coreference Resolution. | Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli |
| 2013 | AAAI | HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. | Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli |
| 2013 | AAAI | Relational Markov Decision Processes: Promise and Prospects. | Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan |
| 2013 | ILP | Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. | Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli |
| 2012 | AAAI | Planning in Factored Action Spaces with Symbolic Dynamic Programming. | Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon |
| 2012 | ICML | Output Space Search for Structured Prediction. | Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli |
| 2011 | IJCAI | Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. | Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2010 | AAAI | A Computational Decision Theory for Interactive Assistants. | Alan Fern, Prasad Tadepalli |
| 2010 | AAAI | Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. | Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2010 | AAAI | Bayesian Policy Search for Multi-Agent Role Discovery. | Aaron Wilson, Alan Fern, Prasad Tadepalli |
| 2010 | ICMLA | Multi-Agent Inverse Reinforcement Learning. | Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |
| 2009 | IAAI | Simulation-based Optimization of Resource Placement and Emergency Response. | Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner |
| 2009 | IAAI | An Ensemble Learning and Problem Solving Architecture for Airspace Management. | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontan, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
| 2009 | ICMLA | Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. | Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik |
| 2009 | ICMLA | Multiagent Transfer Learning via Assignment-Based Decomposition. | Scott Proper, Prasad Tadepalli |
| 2009 | ILP | Transfer Learning via Relational Templates. | Scott Proper, Prasad Tadepalli |
| 2008 | ICML | Automatic discovery and transfer of MAXQ hierarchies. | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
| 2008 | ILP | Logical Hierarchical Hidden Markov Models for Modeling User Activities. | Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong |
| 2007 | ICML | Learning for efficient retrieval of structured data with noisy queries. | Charles Parker, Alan Fern, Prasad Tadepalli |
| 2007 | ICML | Multi-task reinforcement learning: a hierarchical Bayesian approach. | Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli |
| 2007 | IJCAI | A Decision-Theoretic Model of Assistance. | Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli |
| 2007 | ILP | A Relational Hierarchical Model for Decision-Theoretic Assistance. | Sriraam Natarajan, Prasad Tadepalli, Alan Fern |
| 2006 | AAAI | Gradient Boosting for Sequence Alignment. | Charles Parker, Alan Fern, Prasad Tadepalli |
| 2005 | ICML | Dynamic preferences in multi-criteria reinforcement learning. | Sriraam Natarajan, Prasad Tadepalli |
| 2005 | ICML | Learning first-order probabilistic models with combining rules. | Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar |
| 2002 | ICML | Learning Decision Rules by Randomized Iterative Local Search. | Michael Chisholm, Prasad Tadepalli |
| 2002 | ICML | Model-based Hierarchical Average-reward Reinforcement Learning. | Sandeep Seri, Prasad Tadepalli |
| 1999 | COLT | Exact Learning of Unordered Tree Patterns from Queries. | Thomas R. Amoth, Paul Cull, Prasad Tadepalli |
| 1998 | COLT | Exact Learning of Tree Patterns from Queries and Counterexamples. | Thomas R. Amoth, Paul Cull, Prasad Tadepalli |
| 1998 | ICML | Learning First-Order Acyclic Horn Programs from Entailment. | Chandra Reddy, Prasad Tadepalli |
| 1998 | ILP | Learning First-Order Acyclic Horn Programs from Entailment. | Chandra Reddy, Prasad Tadepalli |
| 1997 | AAAI | Active Learning with Committees for Text Categorization. | Ray Liere, Prasad Tadepalli |
| 1997 | AAAI | Active Learning with Committees. | Ray Liere, Prasad Tadepalli |
| 1997 | AAAI | Learning Goal-Decomposition Rules Using Exercises. | Chandra Reddy, Prasad Tadepalli |
| 1997 | ICML | Learning Goal-Decomposition Rules using Exercises. | Chandra Reddy, Prasad Tadepalli |
| 1997 | ICML | Hierarchical Explanation-Based Reinforcement Learning. | Prasad Tadepalli, Thomas G. Dietterich |
| 1997 | ILP | Learning Horn Definitions with Equivalence and Membership Queries. | Chandra Reddy, Prasad Tadepalli |
| 1996 | AAAI | Auto-Exploratory Average Reward Reinforcement Learning. | DoKyeong Ok, Prasad Tadepalli |
| 1996 | ICML | Theory-guided Empirical Speedup Learning of Goal Decomposition Rules. | Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo |
| 1996 | ICML | Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function. | Prasad Tadepalli, DoKyeong Ok |
| 1993 | ICML | Learning from Queries and Examples with Tree-structured Bias. | Prasad Tadepalli |
| 1992 | AAAI | A Theory of Unsupervised Speedup Learning. | Prasad Tadepalli |
| 1991 | ICML | Learning with Incrutable Theories. | Prasad Tadepalli |
| 1991 | IJCAI | A Formalization of Explanation-Based Macro-operator Learning. | Prasad Tadepalli |
| 1989 | ICML | Planning Approximate Plans for Use in the Real World. | Prasad Tadepalli |
| 1989 | IJCAI | Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem. | Prasad Tadepalli |
| 1988 | ICML | On the Tractability of Learning from Incomplete Theories. | Sridhar Mahadevan, Prasad Tadepalli |
| 1988 | ICML | Two New Frameworks for Learning. | Balas K. Natarajan, Prasad Tadepalli |
| 1987 | AAAI | Optimizing the Predictive Value of Diagnostic Decision Rules. | Sholom M. Weiss, Robert S. Galen, Prasad Tadepalli |