Fern, Alan

104 publications

AAAI 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa

NeurIPS 2025 Graph Neural Network Based Action Ranking for Planning Rajesh Devaraddi Mangannavar, Stefan Lee, Alan Fern, Prasad Tadepalli

NeurIPS 2025 Online Optimization for Offline Safe Reinforcement Learning Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Jana Doppa

AAAI 2025 Self-Attention-Based Diffusion Model for Time-Series Imputation in Partial Blackout Scenarios Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern

AAAI 2024 Attention-Based Models for Snow-Water Equivalent Prediction Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman

AAAI 2024 Data-Driven Structural Fire Risk Prediction for City Properties Rupasree Dey, Alan Fern

ECCV 2024 Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs Aayam Shrestha, Pan Liu, German Ros, Kai Yuan, Alan Fern

CoRL 2024 Learning Decentralized Multi-Biped Control for Payload Transport Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern

AAAI 2023 Grape Cold Hardiness Prediction via Multi-Task Learning Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern

NeurIPSW 2022 Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul, Mariano Phielipp, Alan Fern

JMLR 2022 PAC Guarantees and Effective Algorithms for Detecting Novel Categories Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich

JMLR 2021 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition Erich Merrill, Alan Fern, Xiaoli Fern, Nima Dolatnia

ICLR 2021 Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin, Kin-Ho Lam, Alan Fern

ICLR 2021 DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern

NeurIPS 2021 One Explanation Is Not Enough: Structured Attention Graphs for Image Classification Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern

ICML 2021 Re-Understanding Finite-State Representations of Recurrent Policy Networks Mohamad H Danesh, Anurag Koul, Alan Fern, Saeed Khorram

CVPRW 2020 Learning Intuitive Physics by Explaining Surprise Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern

AAAI 2020 Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern

AAAI 2020 The Choice Function Framework for Online Policy Improvement Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli

IJCAI 2019 Explaining Reinforcement Learning to Mere Mortals: An Empirical Study Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett

ICLR 2019 Learning Finite State Representations of Recurrent Policy Networks Anurag Koul, Alan Fern, Sam Greydanus

AAAI 2019 Strategic Tasks for Explainable Reinforcement Learning Rey Pocius, Lawrence Neal, Alan Fern

IJCAI 2018 Emergency Response Optimization Using Online Hybrid Planning Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern

ICML 2018 Open Category Detection with PAC Guarantees Si Liu, Risheek Garrepalli, Thomas Dietterich, Alan Fern, Dan Hendrycks

ICML 2018 Visualizing and Understanding Atari Agents Samuel Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern

ALT 2017 Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-Label Learning Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli

CVPR 2017 Budget-Aware Deep Semantic Video Segmentation Behrooz Mahasseni, Sinisa Todorovic, Alan Fern

AAAI 2017 Hindsight Optimization for Hybrid State and Action MDPs Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

JMLR 2017 Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning Jervis Pinto, Alan Fern

JAIR 2017 Sample-Based Tree Search with Fixed and Adaptive State Abstractions Jesse Hostetler, Alan Fern, Thomas G. Dietterich

JAIR 2016 Budgeted Optimization with Constrained Experiments Javad Azimi, Xiaoli Z. Fern, Alan Fern

UAI 2016 Finite Sample Complexity of Rare Pattern Anomaly Detection Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das

IJCAI 2015 Active Imitation Learning of Hierarchical Policies Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern

WACV 2015 Efficiently Constructing Mosaics from Video Collections Frank Liu, Robin Hess, Alan Fern

AAAI 2015 Factored MCTS for Large Scale Stochastic Planning Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli

UAI 2015 Memory-Effcient Symbolic Online Planning for Factored MDPs Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern

IJCAI 2015 Multitask Coactive Learning Robby Goetschalckx, Alan Fern, Prasad Tadepalli

CVPR 2015 Person Count Localization in Videos from Noisy Foreground and Detections Sheng Chen, Alan Fern, Sinisa Todorovic

UAI 2015 Progressive Abstraction Refinement for Sparse Sampling Jesse Hostetler, Alan Fern, Thomas G. Dietterich

JAIR 2015 Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization Shan Xue, Alan Fern, Daniel Sheldon

JAIR 2014 A Decision-Theoretic Model of Assistance Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli

AAAI 2014 Coactive Learning for Locally Optimal Problem Solving Robby Goetschalckx, Alan Fern, Prasad Tadepalli

AISTATS 2014 Dynamic Resource Allocation for Optimizing Population Diffusion Shan Xue, Alan Fern, Daniel Sheldon

AAAI 2014 HC-Search for Multi-Label Prediction: An Empirical Study Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli

JAIR 2014 HC-Search: A Learning Framework for Search-Based Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

AAAI 2014 Imitation Learning with Demonstrations and Shaping Rewards Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx

UAI 2014 Learning Partial Policies to Speedup MDP Tree Search Jervis Pinto, Alan Fern

CVPR 2014 Multi-Object Tracking via Constrained Sequential Labeling Sheng Chen, Alan Fern, Sinisa Todorovic

WACV 2014 Play Type Recognition in Real-World Football Video Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez, Alan Fern, Sinisa Todorovic

AAAI 2014 State Aggregation in Monte Carlo Tree Search Jesse Hostetler, Alan Fern, Tom Dietterich

JMLR 2014 Structured Prediction via Output Space Search Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

JMLR 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning Aaron Wilson, Alan Fern, Prasad Tadepalli

AAAI 2013 HC-Search: Learning Heuristics and Cost Functions for Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

ICCV 2013 Monte Carlo Tree Search for Scheduling Activity Recognition Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu

ECML-PKDD 2013 Solving Relational MDPs with Exogenous Events and Additive Rewards Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern

NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli

NeurIPS 2012 A Bayesian Approach for Policy Learning from Trajectory Preference Queries Aaron Wilson, Alan Fern, Prasad Tadepalli

UAI 2012 Active Imitation Learning via Reduction to I.I.D. Active Learning Kshitij Judah, Alan Fern, Thomas G. Dietterich

ICML 2012 Batch Active Learning via Coordinated Matching Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa

UAI 2012 Inferring Strategies from Limited Reconnaissance in Real-Time Strategy Games Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern

ICML 2012 Output Space Search for Structured Prediction Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli

AAAI 2012 Planning in Factored Action Spaces with Symbolic Dynamic Programming Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon

AAAI 2012 Scheduling Conservation Designs via Network Cascade Optimization Shan Xue, Alan Fern, Daniel Sheldon

NeurIPS 2011 Autonomous Learning of Action Models for Planning Neville Mehta, Prasad Tadepalli, Alan Fern

NeurIPS 2011 Budgeted Optimization with Concurrent Stochastic-Duration Experiments Javad Azimi, Alan Fern, Xiaoli Z. Fern

ACML 2011 Improving Policy Gradient Estimates with Influence Information Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig

ECML-PKDD 2011 Learning First-Order Definite Theories via Object-Based Queries Joseph Selman, Alan Fern

CVPR 2011 Probabilistic Event Logic for Interval-Based Event Recognition William Brendel, Alan Fern, Sinisa Todorovic

MLJ 2011 The First Learning Track of the International Planning Competition Alan Fern, Roni Khardon, Prasad Tadepalli

NeurIPS 2010 A Computational Decision Theory for Interactive Assistants Alan Fern, Prasad Tadepalli

NeurIPS 2010 Batch Bayesian Optimization via Simulation Matching Javad Azimi, Alan Fern, Xiaoli Z. Fern

AAAI 2010 Bayesian Policy Search for Multi-Agent Role Discovery Aaron Wilson, Alan Fern, Prasad Tadepalli

ECML-PKDD 2010 Incorporating Domain Models into Bayesian Optimization for RL Aaron Wilson, Alan Fern, Prasad Tadepalli

AAAI 2010 Myopic Policies for Budgeted Optimization with Constrained Experiments Javad Azimi, Xiaoli Z. Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller

AAAI 2010 Reinforcement Learning via Practice and Critique Advice Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich

CVPR 2009 Discriminatively Trained Particle Filters for Complex Multi-Object Tracking Robin Hess, Alan Fern

JMLR 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning Yuehua Xu, Alan Fern, Sungwook Yoon

IJCAI 2009 UCT for Tactical Assault Planning in Real-Time Strategy Games Radha-Krishna Balla, Alan Fern

JMLR 2008 Learning Control Knowledge for Forward Search Planning Sungwook Yoon, Alan Fern, Robert Givan

AAAI 2008 Probabilistic Planning via Determinization in Hindsight Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao Kambhampati

AAAI 2008 Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks Scott Dejmal, Alan Fern, Thinh P. Nguyen

MLJ 2008 Transfer in Variable-Reward Hierarchical Reinforcement Learning Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern

IJCAI 2007 A Decision-Theoretic Model of Assistance Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli

IJCAI 2007 Discriminative Learning of Beam-Search Heuristics for Planning Yuehua Xu, Alan Fern, Sung Wook Yoon

CVPR 2007 Improved Video Registration Using Non-Distinctive Local Image Features Robin Hess, Alan Fern

ICML 2007 Learning for Efficient Retrieval of Structured Data with Noisy Queries Charles Parker, Alan Fern, Prasad Tadepalli

ICCV 2007 Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets Robin Hess, Alan Fern, Eric N. Mortensen

ICML 2007 Multi-Task Reinforcement Learning: A Hierarchical Bayesian Approach Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli

ICML 2007 On Learning Linear Ranking Functions for Beam Search Yuehua Xu, Alan Fern

IJCAI 2007 Revisiting Output Coding for Sequential Supervised Learning Guohua Hao, Alan Fern

IJCAI 2007 Using Learned Policies in Heuristic-Search Planning Sung Wook Yoon, Alan Fern, Robert Givan

JAIR 2006 Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes Alan Fern, Sung Wook Yoon, Robert Givan

AAAI 2006 Gradient Boosting for Sequence Alignment Charles Parker, Alan Fern, Prasad Tadepalli

IJCAI 2005 A Simple-Transition Model for Relational Sequences Alan Fern

ICML 2005 Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar

AAAI 2005 Learning Measures of Progress for Planning Domains Sung Wook Yoon, Alan Fern, Robert Givan

ICML 2004 Relational Sequential Inference with Reliable Observations Alan Fern, Robert Givan

NeurIPS 2003 Approximate Policy Iteration with a Policy Language Bias Alan Fern, Sungwook Yoon, Robert Givan

MLJ 2003 Online Ensemble Learning: An Empirical Study Alan Fern, Robert Givan

UAI 2002 Inductive Policy Selection for First-Order MDPs Sung Wook Yoon, Alan Fern, Robert Givan

AAAI 2002 Learning Temporal, Relational, Force-Dynamic Event Definitions from Video Alan Fern, Jeffrey Mark Siskind, Robert Givan

AAAI 2002 Specific-to-General Learning for Temporal Events Alan Fern, Robert Givan, Jeffrey Mark Siskind

JAIR 2002 Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video Alan Fern, Robert Givan, Jeffrey Mark Siskind

ICML 2000 Online Ensemble Learning: An Empirical Study Alan Fern, Robert Givan