Prasad Tadepalli

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 59

Top Venues

Publications

Yilin Yang, Stefan Lee, Prasad Tadepalli
Language-Informed Beam Search Decoding for Multilingual Machine Translation. ACL (Findings) (2024)
Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
Explainable models via compression of tree ensembles. Mach. Learn. 113 (3) (2024)
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. 35 (23) (2023)
Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao
Adversarial Attacks on Combinatorial Multi-Armed Bandits. CoRR (2023)
Bhavan K. Vasu, Prasad Tadepalli
Global Explanations for Image Classifiers (Student Abstract). AAAI (2023)
Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. FUSION (2022)
Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
Explainable Models via Compression of Tree Ensembles. CoRR (2022)
Alexander Matt Turner, Aseem Saxena, Prasad Tadepalli
Formalizing the Problem of Side Effect Regularization. CoRR (2022)
Alexander Matt Turner, Prasad Tadepalli
Parametrically Retargetable Decision-Makers Tend To Seek Power. CoRR (2022)
Alexander Matt Turner, Prasad Tadepalli
Parametrically Retargetable Decision-Makers Tend To Seek Power. NeurIPS (2022)
Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs. ICLR (2021)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS (2021)
Alexander Matt Turner, Logan Smith, Rohin Shah, Andrew Critch, Prasad Tadepalli
Optimal Policies Tend To Seek Power. NeurIPS (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. ICAPS (2021)
Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan
Improving Multilingual Translation by Representation and Gradient Regularization. CoRR (2021)
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
From Heatmaps to Structural Explanations of Image Classifiers. CoRR (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
Dynamic probabilistic logic models for effective abstractions in RL. CoRR (2021)
Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan
Improving Multilingual Translation by Representation and Gradient Regularization. EMNLP (1) (2021)
Prasad Tadepalli, Stuart J. Russell
PAC Learning of Causal Trees with Latent Variables. AAAI (2021)
Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu
On the Sub-Layer Functionalities of Transformer Decoder. EMNLP (Findings) (2020)
Alexander Matt Turner, Neale Ratzlaff, Prasad Tadepalli
Avoiding Side Effects in Complex Environments. CoRR (2020)
Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs. CoRR (2020)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli
Relation Extraction with Explanation. CoRR (2020)
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
Conservative Agency via Attainable Utility Preservation. AIES (2020)
Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu
On the Sub-Layer Functionalities of Transformer Decoder. CoRR (2020)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
The Choice Function Framework for Online Policy Improvement. AAAI (2020)
Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
Structured Attention Graphs for Understanding Deep Image Classifications. CoRR (2020)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli
Relation Extraction with Explanation. ACL (2020)
Alexander Matt Turner, Neale Ratzlaff, Prasad Tadepalli
Avoiding Side Effects in Complex Environments. NeurIPS (2020)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Saliency Learning: Teaching the Model Where to Pay Attention. NAACL-HLT (1) (2019)
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. IUI Workshops (2019)
Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Vivswan Shitole, Joseph Louis, Prasad Tadepalli
Optimizing Earth Moving Operations Via Reinforcement Learning. WSC (2019)
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
Conservative Agency via Attainable Utility Preservation. CoRR (2019)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
The Choice Function Framework for Online Policy Improvement. CoRR (2019)
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
Conservative Agency. AISafety@IJCAI (2019)
Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Description-Based Zero-shot Fine-Grained Entity Typing. NAACL-HLT (1) (2019)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Saliency Learning: Teaching the Model Where to Pay Attention. CoRR (2019)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. CoRR (2019)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Obeidat, Prasad Tadepalli
Joint Neural Entity Disambiguation with Output Space Search. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. EMNLP (2018)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Mohammad Obeidat, Prasad Tadepalli
Joint Neural Entity Disambiguation with Output Space Search. COLING (2018)
Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
Training Deep Reactive Policies for Probabilistic Planning Problems. ICAPS (2018)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. CoRR (2018)
John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. CoRR (2018)
Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern
Emergency Response Optimization using Online Hybrid Planning. IJCAI (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Attentional Multi-Reading Sarcasm Detection. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Dependent Gated Reading for Cloze-Style Question Answering. COLING (2018)
John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. EMNLP (2018)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Dependent Gated Reading for Cloze-Style Question Answering. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. CoRR (2018)
Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. CoRR (2018)
Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. ACML (2017)
Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. ALT (2017)
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern
Hindsight Optimization for Hybrid State and Action MDPs. AAAI (2017)
Hamed Shahbazi, Chao Ma, Xiaoli Z. Fern, Prasad Tadepalli
Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation. TAC (2016)
Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. ACL (2) (2016)
Rasha Obeidat, Xiaoli Z. Fern, Prasad Tadepalli
Label Embedding Approach for Transfer Learning. ICBO/BioCreative (2016)
Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
Learning Greedy Policies for the Easy-First Framework. AAAI (2015)
Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern
Active Imitation Learning of Hierarchical Policies. IJCAI (2015)
Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue
Hindsight Optimization for Probabilistic Planning with Factored Actions. ICAPS (2015)
Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern
Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI (2015)
Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli
Factored MCTS for Large Scale Stochastic Planning. AAAI (2015)
Robby Goetschalckx, Alan Fern, Prasad Tadepalli
Multitask Coactive Learning. IJCAI (2015)
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
HC-Search: A Learning Framework for Search-based Structured Prediction. J. Artif. Intell. Res. 50 (2014)
Aaron Wilson, Alan Fern, Prasad Tadepalli
Using trajectory data to improve bayesian optimization for reinforcement learning. J. Mach. Learn. Res. 15 (1) (2014)
Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli
A Decision-Theoretic Model of Assistance. J. Artif. Intell. Res. 50 (2014)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. AAAI (2014)
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
Structured prediction via output space search. J. Mach. Learn. Res. 15 (1) (2014)
Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP (2014)
Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx
Imitation Learning with Demonstrations and Shaping Rewards. AAAI (2014)
Robby Goetschalckx, Alan Fern, Prasad Tadepalli
Coactive Learning for Locally Optimal Problem Solving. CoRR (2014)
Kshitij Judah, Alan Paul Fern, Thomas G. Dietterich, Prasad Tadepalli
Active lmitation learning: formal and practical reductions to I.I.D. learning. J. Mach. Learn. Res. 15 (1) (2014)
Robby Goetschalckx, Alan Fern, Prasad Tadepalli
Coactive Learning for Locally Optimal Problem Solving. AAAI (2014)
Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli
HC-Search for Multi-Label Prediction: An Empirical Study. AAAI (2014)
Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. ILP (2013)
Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR (2013)
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI (2013)
Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) (2013)
Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS (2013)
Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan
Relational Markov Decision Processes: Promise and Prospects. AAAI Workshop: Statistical Relational Artificial Intelligence (2013)
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon
Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI (2012)
Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli
Accelarating Imitation Learning in Relational Domains via Transfer by Initialization. StarAI@UAI (2012)
Sriraam Natarajan, Prasad Tadepalli, Alan Fern
A relational hierarchical model for decision-theoretic assistance. Knowl. Inf. Syst. 32 (2) (2012)
Aaron Wilson, Alan Fern, Prasad Tadepalli
Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. ICML Unsupervised and Transfer Learning (2012)
Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
Output Space Search for Structured Prediction. ICML (2012)
Aaron Wilson, Alan Fern, Prasad Tadepalli
A Bayesian Approach for Policy Learning from Trajectory Preference Queries. NIPS (2012)
Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 3 (4) (2012)
Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI (2011)
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. AI Mag. 32 (1) (2011)
Alan Fern, Roni Khardon, Prasad Tadepalli
The first learning track of the international planning competition. Mach. Learn. 84 (1-2) (2011)
Neville Mehta, Prasad Tadepalli, Alan Fern
Autonomous Learning of Action Models for Planning. NIPS (2011)
Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine
Learning Rules from Incomplete Examples via Implicit Mention Models. ACML (2011)
Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. NIPS (2011)
Alan Fern, Prasad Tadepalli
A Computational Decision Theory for Interactive Assistants. NIPS (2010)
Aaron Wilson, Alan Fern, Prasad Tadepalli
Bayesian role discovery for multi-agent reinforcement learning. AAMAS (2010)
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) (2010)
Aaron Wilson, Alan Fern, Prasad Tadepalli
Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) (2010)
Aaron Wilson, Alan Fern, Prasad Tadepalli
Bayesian Policy Search for Multi-Agent Role Discovery. AAAI (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Prasad Tadepalli