Alan Fern - RankMe

278 papers A* 84A 18B 6C 8Misc 1Journal 110Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning. CoRR William Solow, Paola Pesantez-Cabrera, Markus Keller, Lav R. Khot, Sandhya Saisubramanian, Alan Fern
2026	A*	`conf`	Budgeted Online Active Learning with Expert Advice and Episodic Priors. AAAI Kristen Goebel, William Solow, Paola Pesantez-Cabrera, Markus Keller, Alan Fern
2026	J	`jnl`	Grounding Vision and Language to 3D Masks for Long-Horizon Box Rearrangement. CoRR Ashish Malik, Caleb Lowe, Aayam Shrestha, Stefan Lee, Fuxin Li, Alan Fern
2026	J	`jnl`	Humanoid Hanoi: Investigating Shared Whole-Body Control for Skill-Based Box Rearrangement. CoRR Minku Kim, Kuan-Chia Chen, Aayam Shrestha, Li Fuxin, Stefan Lee, Alan Fern
2026	A*	`conf`	Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory. AAAI Taylor Dinkins, Weng-Keen Wong, Basavaraj R. Amogi, Paola Pesantez-Cabrera, Jaitun Patel, Lav R. Khot, Alan Fern
2025	J	`jnl`	Advancing AI in Agriculture through Large-Scale Collaborative Research. Commun. ACM Vikram S. Adve, Steve Brown, Alan Fern, Baskar Ganapathysubramanian, Ananth Kalyanaraman, Shashi Shekhar, Ilias Tagkopoulos, Jessica M. Wedow
2025	J	`jnl`	Budgeted Online Active Learning with Expert Advice and Episodic Priors. CoRR Kristen Goebel, William Solow, Paola Pesantez-Cabrera, Markus Keller, Alan Fern
2025	A*	`conf`	Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning. AAAI Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa
2025	—	`conf`	Evaluating Robots Like Human Infants: A Case Study of Learned Bipedal Locomotion. ICDL Devin Crowley, Whitney G. Cole, Christina M. Hospodar, Ruiting Shen, Karen E. Adolph, Alan Fern
2025	J	`jnl`	Evaluating Robots Like Human Infants: A Case Study of Learned Bipedal Locomotion. CoRR Devin Crowley, Whitney G. Cole, Christina M. Hospodar, Ruiting Shen, Karen E. Adolph, Alan Fern
2025	J	`jnl`	Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs. CoRR Aayam Shrestha, Pan Liu, Germán Ros, Kai Yuan, Alan Fern
2025	J	`jnl`	Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move. CoRR Bikram Pandit, Aayam Kumar Shrestha, Alan Fern
2025	—	`conf`	No More Blind Spots: Learning Vision-Based Omnidirectional Bipedal Locomotion for Challenging Terrain. Humanoids Mohitvishnu S. Gadde, Pranay Dugar, Ashish Malik, Alan Fern
2025	J	`jnl`	No More Blind Spots: Learning Vision-Based Omnidirectional Bipedal Locomotion for Challenging Terrain. CoRR Mohitvishnu S. Gadde, Pranay Dugar, Ashish Malik, Alan Fern
2025	—	`conf`	No More Marching: Learning Humanoid Locomotion for Short-Range SE(2) Targets. Humanoids Pranay Dugar, Mohitvishnu S. Gadde, Jonah Siekmann, Yesh Godse, Aayam Shrestha, Alan Fern
2025	J	`jnl`	No More Marching: Learning Humanoid Locomotion for Short-Range SE(2) Targets. CoRR Pranay Dugar, Mohitvishnu S. Gadde, Jonah Siekmann, Yesh Godse, Aayam Shrestha, Alan Fern
2025	J	`jnl`	Online Optimization for Offline Safe Reinforcement Learning. CoRR Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Janardhan Rao Doppa
2025	J	`jnl`	Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running. CoRR Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan W. Hurst, Alan Fern
2025	—	`conf`	PhenoTracker: A machine learning model to track grape phenology. ICPP Workshops Nathan Balcarcel, Paola Pesantez-Cabrera, Kristen Goebel, Markus Keller, Lav R. Khot, Alan Fern, Ananth Kalyanaraman
2025	A*	`conf`	Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios. AAAI Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern
2025	J	`jnl`	Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios. CoRR Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern
2025	J	`jnl`	Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction. CoRR Kristen Goebel, Paola Pesantez-Cabrera, Markus Keller, Alan Fern
2025	J	`jnl`	WOFOSTGym: A Crop Simulator for Learning Annual and Perennial Crop Management Strategies. CoRR William Solow, Sandhya Saisubramanian, Alan Fern
2024	J	`jnl`	AgAID Institute - AI for agricultural labor and decision support. AI Mag. Alan Fern, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman
2024	A*	`conf`	Attention-Based Models for Snow-Water Equivalent Prediction. AAAI Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
2024	J	`jnl`	Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning. CoRR Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Janardhan Rao Doppa
2024	A*	`conf`	Data-Driven Structural Fire Risk Prediction for City Properties. AAAI Rupasree Dey, Alan Fern
2024	J	`jnl`	GABAR: Graph Attention-Based Action Ranking for Relational Policy Learning. CoRR Rajesh Mangannavar, Stefan Lee, Alan Fern, Prasad Tadepalli
2024	—	`conf`	Generating Physically Realistic and Directable Human Motions from Multi-modal Inputs. ECCV (62) Aayam Shrestha, Pan Liu, Germán Ros, Kai Yuan, Alan Fern
2024	J	`jnl`	Hierarchical Object-Oriented POMDP Planning for Object Rearrangement. CoRR Rajesh Mangannavar, Alan Fern, Prasad Tadepalli
2024	A	`conf`	Interruptive Language Control of Bipedal Locomotion. IROS Ashish Malik, Stefan Lee, Alan Fern
2024	Misc	`conf`	Learning Decentralized Multi-Biped Control for Payload Transport. CoRL Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern
2024	J	`jnl`	Learning Decentralized Multi-Biped Control for Payload Transport. CoRR Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde, Addison Johnson, Aayam Kumar Shrestha, Helei Duan, Jeremy Dao, Alan Fern
2024	C	`conf`	Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models. ICMLA Ozmen Erkin Kokten, Raviv Raich, James Holmes, Alan Fern
2024	J	`jnl`	Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots. CoRR Pranay Dugar, Aayam Shrestha, Fangzhou Yu, Bart van Marum, Alan Fern
2024	A*	`conf`	Learning Vision-Based Bipedal Locomotion for Challenging Terrain. ICRA Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart van Marum, Jeremy Dao, Chanho Kim, Alan Fern
2024	A	`conf`	Revisiting Reward Design and Evaluation for Robust Humanoid Standing and Walking. IROS Bart van Marum, Aayam Shrestha, Helei Duan, Pranay Dugar, Jeremy Dao, Alan Fern
2024	J	`jnl`	Revisiting Reward Design and Evaluation for Robust Humanoid Standing and Walking. CoRR Bart van Marum, Aayam Shrestha, Helei Duan, Pranay Dugar, Jeremy Dao, Alan Fern
2024	A*	`conf`	Sim-to-Real Learning for Humanoid Box Loco-Manipulation. ICRA Jeremy Dao, Helei Duan, Alan Fern
2023	J	`jnl`	Attention-based Models for Snow-Water Equivalent Prediction. CoRR Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
2023	A*	`conf`	Grape Cold Hardiness Prediction via Multi-Task Learning. AAAI Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern
2023	J	`jnl`	Learning Vision-Based Bipedal Locomotion for Challenging Terrain. CoRR Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern
2023	J	`jnl`	Multi-Task Learning for Budbreak Prediction. CoRR Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern
2023	A*	`conf`	Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running. ICRA Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan W. Hurst, Alan Fern
2023	J	`jnl`	Sim-to-Real Learning for Humanoid Box Loco-Manipulation. CoRR Jeremy Dao, Helei Duan, Alan Fern
2022	J	`jnl`	Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL. CoRR Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
2022	A*	`conf`	Beyond Value: CheckList for Testing Inferences in Planning-Based RL. ICAPS Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern
2022	J	`jnl`	Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning. CoRR Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern
2022	—	`conf`	Dynamic Bipedal Turning through Sim-to-Real Reinforcement Learning. Humanoids Fangzhou Yu, Ryan Batke, Jeremy Dao, Jonathan W. Hurst, Kevin Green, Alan Fern
2022	J	`jnl`	Finding AI's Faults with AAR/AI: An Empirical Study. ACM Trans. Interact. Intell. Syst. Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett
2022	J	`jnl`	Grape Cold Hardiness Prediction via Multi-Task Learning. CoRR Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern
2022	A	`conf`	Learning Dynamic Bipedal Walking Across Stepping Stones. IROS Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst
2022	J	`jnl`	Learning Dynamic Bipedal Walking Across Stepping Stones. CoRR Helei Duan, Ashish Malik, Mohitvishnu S. Gadde, Jeremy Dao, Alan Fern, Jonathan W. Hurst
2022	J	`jnl`	Offline Policy Comparison with Confidence: Benchmarks and Baselines. CoRR Anurag Koul, Mariano Phielipp, Alan Fern
2022	—	`conf`	Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. Humanoids Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green
2022	J	`jnl`	Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning. CoRR Ryan Batke, Fangzhou Yu, Jeremy Dao, Jonathan W. Hurst, Ross L. Hatton, Alan Fern, Kevin Green
2022	J	`jnl`	Oracle Analysis of Representations for Deep Open Set Detection. CoRR Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
2022	J	`jnl`	PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich
2022	A*	`conf`	Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. ICRA Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst
2022	J	`jnl`	Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads. CoRR Jeremy Dao, Kevin Green, Helei Duan, Alan Fern, Jonathan W. Hurst
2022	A*	`conf`	Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. ICRA Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst
2022	J	`jnl`	Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. CoRR Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst
2022	J	`jnl`	Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Comput. Electron. Agric. Ananth Kalyanaraman, Margaret Burnett, Alan Fern, Lav R. Khot, Joshua Viers
2021	—	`conf`	"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review. IEEE VIS (Short Papers) Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng
2021	J	`jnl`	After-Action Review for AI (AAR/AI). ACM Trans. Interact. Intell. Syst. Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern
2021	J	`jnl`	An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. J. Mach. Learn. Res. Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia
2021	—	`conf`	Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. Robotics: Science and Systems Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst
2021	J	`jnl`	Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. CoRR Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst
2021	A*	`conf`	Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. ICLR Zhengxian Lin, Kin-Ho Lam, Alan Fern
2021	J	`jnl`	Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern
2021	A*	`conf`	DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs. ICLR Aayam Kumar Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
2021	—	`conf`	Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches. CHASE@ICSE Rupika Dikkala, Roli Khanna, Caleb R. Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett
2021	J	`jnl`	From Heatmaps to Structural Explanations of Image Classifiers. CoRR Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern
2021	J	`jnl`	Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. CoRR Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern
2021	J	`jnl`	Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model. IEEE Robotics Autom. Lett. Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst
2021	A*	`conf`	Learning Task Space Actions for Bipedal Locomotion. ICRA Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst
2021	—	`conf`	Modeling Infant Free Play Using Hidden Markov Models. ICDL Hoang Le, Justine E. Hoch, Ori Ossmy, Karen E. Adolph, Xiaoli Z. Fern, Alan Fern
2021	A*	`conf`	One Explanation is Not Enough: Structured Attention Graphs for Image Classification. NeurIPS Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
2021	J	`jnl`	Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. CoRR Mohamad H. Danesh, Alan Fern
2021	J	`jnl`	Piecewise-constant Neural ODEs. CoRR Sam Greydanus, Stefan Lee, Alan Fern
2021	A*	`conf`	Re-understanding Finite-State Representations of Recurrent Policy Networks. ICML Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram
2021	—	`conf`	Scalable and Usable Relational Learning With Automatic Language Bias. SIGMOD Conference Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak, Praveen Ilango, John Davis
2021	A*	`conf`	Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. ICRA Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions. CoRR Zhengxian Lin, Kim-Ho Lam, Alan Fern
2020	J	`jnl`	DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs. CoRR Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
2020	J	`jnl`	Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2020	J	`jnl`	Dream and Search to Control: Latent Space Planning for Continuous Control. CoRR Anurag Koul, Varun V. Kumar, Alan Fern, Somdeb Majumdar
2020	C	`conf`	Explanations for Dynamic Programming. PADL Martin Erwig, Prashant Kumar, Alan Fern
2020	A	`conf`	Keeping it "organized and logical": after-action review for AI (AAR/AI). IUI Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern
2020	—	`conf`	Learning Intuitive Physics by Explaining Surprise. CVPR Workshops Hung Nguyen, Jay Patravali, Fuxin Li, Alan Fern
2020	—	`conf`	Learning Memory-Based Control for Human-Scale Bipedal Locomotion. Robotics: Science and Systems Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Learning Memory-Based Control for Human-Scale Bipedal Locomotion. CoRR Jonah Siekmann, Srikar Valluri, Jeremy Dao, Lorenzo Bermillo, Helei Duan, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model. CoRR Kevin Green, Yesh Godse, Jeremy Dao, Ross L. Hatton, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Learning Task Space Actions for Bipedal Locomotion. CoRR Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Mental Models of Mere Mortals with Explanations of Reinforcement Learning. ACM Trans. Interact. Intell. Syst. Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, Margaret Burnett
2020	A*	`conf`	Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. AAAI Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020	J	`jnl`	Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. CoRR Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern
2020	J	`jnl`	Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. CoRR Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst
2020	J	`jnl`	Structured Attention Graphs for Understanding Deep Image Classifications. CoRR Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern
2020	A*	`conf`	The Choice Function Framework for Online Policy Improvement. AAAI Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
2020	B	`conf`	The Origins of Common Sense in Humans and Machines. CogSci Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman
2020	J	`jnl`	Understanding Finite-State Representations of Recurrent Policy Networks. CoRR Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram
2019	J	`jnl`	Computational sustainability: computing for a better world and a sustainable future. Commun. ACM Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
2019	A*	`conf`	Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. IJCAI Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett
2019	J	`jnl`	Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. CoRR Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett
2019	—	`conf`	Interactive Naming for Explaining Deep Neural Networks: A Formative Study. IUI Workshops Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
2019	—	`conf`	Learning Finite State Representations of Recurrent Policy Networks. ICLR (Poster) Anurag Koul, Alan Fern, Sam Greydanus
2019	J	`jnl`	Logical scalability and efficiency of relational learning algorithms. VLDB J. Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
2019	J	`jnl`	Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
2019	A*	`conf`	Strategic Tasks for Explainable Reinforcement Learning. AAAI Rey Pocius, Lawrence Neal, Alan Fern
2019	J	`jnl`	The Choice Function Framework for Online Policy Improvement. CoRR Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
2018	A*	`conf`	AutoMode: Relational Learning with Less Black Magic. ICDE Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
2018	—	`conf`	Can We Achieve Open Category Detection with Guarantees? AAAI Workshops Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
2018	—	`conf`	Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback. AAAI Workshops Md Amran Siddiqui, Alan Fern, Ryan Wright, Alec Theriault, David W. Archer, William Maxwell
2018	A*	`conf`	Emergency Response Optimization using Online Hybrid Planning. IJCAI Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern
2018	—	`conf`	Fast Online Trajectory Optimization for the Bipedal Robot Cassie. Robotics: Science and Systems Taylor Apgar, Patrick Clary, Kevin Green, Alan Fern, Jonathan W. Hurst
2018	A*	`conf`	Feedback-Guided Anomaly Discovery via Online Optimization. KDD Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer
2018	J	`jnl`	Interactive Naming for Explaining Deep Neural Networks: A Formative Study. CoRR Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli
2018	J	`jnl`	Learning Finite State Representations of Recurrent Policy Networks. CoRR Anurag Koul, Sam Greydanus, Alan Fern
2018	A*	`conf`	Monte-Carlo Planning for Agile Legged Locomotion. ICAPS Patrick Clary, Pedro Morais, Alan Fern, Jonathan W. Hurst
2018	A*	`conf`	Open Category Detection with PAC Guarantees. ICML Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
2018	J	`jnl`	Open Category Detection with PAC Guarantees. CoRR Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
2018	A*	`conf`	Training Deep Reactive Policies for Probabilistic Planning Problems. ICAPS Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli
2018	A*	`conf`	Visualizing and Understanding Atari Agents. ICML Samuel Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern
2017	B	`conf`	Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning. ALT Alan Fern, Robby Goetschalckx, Mandana Hamidi-Haines, Prasad Tadepalli
2017	J	`jnl`	AutoMode: Relational Learning With Less Black Magic. CoRR Jose Picado, Sudhanshu Pathak, Arash Termehchy, Alan Fern
2017	A*	`conf`	Budget-Aware Deep Semantic Video Segmentation. CVPR Behrooz Mahasseni, Sinisa Todorovic, Alan Fern
2017	A*	`conf`	Hindsight Optimization for Hybrid State and Action MDPs. AAAI Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern
2017	J	`jnl`	Incorporating Feedback into Tree-based Anomaly Detection. CoRR Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
2017	J	`jnl`	Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning. J. Mach. Learn. Res. Jervis Pinto, Alan Fern
2017	J	`jnl`	Sample-Based Tree Search with Fixed and Adaptive State Abstractions. J. Artif. Intell. Res. Jesse Hostetler, Alan Fern, Thomas G. Dietterich
2017	—	`conf`	Schema Independent Relational Learning. SIGMOD Conference Jose Picado, Arash Termehchy, Alan Fern, Parisa Ataei
2017	—	`ch.`	Speedup Learning. Encyclopedia of Machine Learning and Data Mining Alan Fern
2017	—	`conf`	Towards Automatically Setting Language Bias in Relational Learning. DEEM@SIGMOD Jose Picado, Arash Termehchy, Alan Fern, Sudhanshu Pathak
2017	J	`jnl`	Visualizing and Understanding Atari Agents. CoRR Sam Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern
2016	J	`jnl`	Approximate Policy Iteration for Budgeted Semantic Video Segmentation. CoRR Behrooz Mahasseni, Sinisa Todorovic, Alan Fern
2016	A*	`conf`	Bayesian Optimization with Resource Constraints and Production. ICAPS Nima Dolatnia, Alan Fern, Xiaoli Z. Fern
2016	J	`jnl`	Budgeted Optimization with Constrained Experiments. J. Artif. Intell. Res. Javad Azimi, Xiaoli Z. Fern, Alan Fern
2016	A	`conf`	Finite Sample Complexity of Rare Pattern Anomaly Detection. UAI Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das
2016	A*	`conf`	Incorporating Expert Feedback into Active Anomaly Discovery. ICDM Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2016	J	`jnl`	Schema Independent and Scalable Relational Learning By Castor. Proc. VLDB Endow. Jose Picado, Parisa Ataei, Arash Termehchy, Alan Fern
2016	—	`conf`	Toward Representation Independent Analytics over Structured Data. ICDM Workshops Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
2015	A*	`conf`	Active Imitation Learning of Hierarchical Policies. IJCAI Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern
2015	A	`conf`	Efficiently Constructing Mosaics from Video Collections. WACV Frank Liu, Robin Hess, Alan Fern
2015	A*	`conf`	Factored MCTS for Large Scale Stochastic Planning. AAAI Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli
2015	A*	`conf`	Hindsight Optimization for Probabilistic Planning with Factored Actions. ICAPS Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, Shan Xue
2015	A*	`conf`	Journal Track Paper Abstracts. ICAPS Jörg Hoffmann, Alan Fern
2015	A	`conf`	Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern
2015	A*	`conf`	Multitask Coactive Learning. IJCAI Robby Goetschalckx, Alan Fern, Prasad Tadepalli
2015	A*	`conf`	Person count localization in videos from noisy foreground and detections. CVPR Sheng Chen, Alan Fern, Sinisa Todorovic
2015	A	`conf`	Progressive Abstraction Refinement for Sparse Sampling. UAI Jesse Hostetler, Alan Fern, Thomas G. Dietterich
2015	J	`jnl`	Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization. J. Artif. Intell. Res. Shan Xue, Alan Fern, Daniel Sheldon
2015	J	`jnl`	Schema Independent Relational Learning. CoRR Jose Picado, Arash Termehchy, Alan Fern
2015	J	`jnl`	Sequential Feature Explanations for Anomaly Detection. CoRR Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
2015	J	`jnl`	Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong
2015	—	`conf`	Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions. AAAI Fall Symposia Nima Dolatnia, Alan Fern, Xiaoli Z. Fern
2014	J	`jnl`	A Decision-Theoretic Model of Assistance. J. Artif. Intell. Res. Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli
2014	J	`jnl`	A Policy Switching Approach to Consolidating Load Shedding and Islanding Protection Schemes. CoRR Rich Meier, Eduardo Cotilla Sanchez, Alan Fern
2014	—	`conf`	A policy switching approach to consolidating load shedding and islanding protection schemes. PSCC Rich Meier, Eduardo Cotilla Sanchez, Alan Fern
2014	A*	`conf`	Coactive Learning for Locally Optimal Problem Solving. AAAI Robby Goetschalckx, Alan Fern, Prasad Tadepalli
2014	J	`jnl`	Coactive Learning for Locally Optimal Problem Solving. CoRR Robby Goetschalckx, Alan Fern, Prasad Tadepalli
2014	A	`conf`	Dynamic Resource Allocation for Optimizing Population Diffusion. AISTATS Shan Xue, Alan Fern, Daniel Sheldon
2014	A*	`conf`	HC-Search for Multi-Label Prediction: An Empirical Study. AAAI Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern, Prasad Tadepalli
2014	J	`jnl`	HC-Search: A Learning Framework for Search-based Structured Prediction. J. Artif. Intell. Res. Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2014	A*	`conf`	Imitation Learning with Demonstrations and Shaping Rewards. AAAI Kshitij Judah, Alan Fern, Prasad Tadepalli, Robby Goetschalckx
2014	A	`conf`	Learning Partial Policies to Speedup MDP Tree Search. UAI Jervis Pinto, Alan Fern
2014	A	`conf`	Learning Pruning Rules for Heuristic Search Planning. ECAI Michal Krajnanský, Jörg Hoffmann, Olivier Buffet, Alan Fern
2014	A*	`conf`	Multi-object Tracking via Constrained Sequential Labeling. CVPR Sheng Chen, Alan Fern, Sinisa Todorovic
2014	A	`conf`	Play type recognition in real-world football video. WACV Sheng Chen, Zhongyuan Feng, Qingkai Lu, Behrooz Mahasseni, Trevor Fiez, Alan Fern, Sinisa Todorovic
2014	A*	`ed.`	Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, ICAPS 2014, Portsmouth, New Hampshire, USA, June 21-26, 2014 ICAPS Steve A. Chien, Minh Binh Do, Alan Fern, Wheeler Ruml
2014	J	`jnl`	Representation Independent Analytics Over Structured Data. CoRR Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun
2014	A*	`conf`	State Aggregation in Monte Carlo Tree Search. AAAI Jesse Hostetler, Alan Fern, Tom Dietterich
2014	J	`jnl`	Structured prediction via output space search. J. Mach. Learn. Res. Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2014	J	`jnl`	Using trajectory data to improve bayesian optimization for reinforcement learning. J. Mach. Learn. Res. Aaron Wilson, Alan Fern, Prasad Tadepalli
2013	A*	`conf`	Detecting insider threats in a real corporate database of computer usage activity. KDD Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
2013	C	`conf`	Detecting the Moment of Snap in Real-World Football Videos. IAAI Behrooz Mahasseni, Sheng Chen, Alan Fern, Sinisa Todorovic
2013	A*	`conf`	HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2013	J	`jnl`	Inductive Policy Selection for First-Order MDPs CoRR Sung Wook Yoon, Alan Fern, Robert Givan
2013	A*	`conf`	Monte Carlo Tree Search for Scheduling Activity Recognition. ICCV Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu
2013	A*	`conf`	On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. ICAPS Brian King, Alan Fern, Jesse Hostetler
2013	—	`conf`	Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan
2013	—	`conf`	Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	J	`jnl`	Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern
2013	—	`conf`	Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli
2012	—	`conf`	A Bayesian Approach for Policy Learning from Trajectory Preference Queries. NIPS Aaron Wilson, Alan Fern, Prasad Tadepalli
2012	J	`jnl`	A relational hierarchical model for decision-theoretic assistance. Knowl. Inf. Syst. Sriraam Natarajan, Prasad Tadepalli, Alan Fern
2012	B	`conf`	Achieving Quality of Service with Adaptation-based Programming for medium access protocols. GLOBECOM Pingan Zhu, Jervis Pinto, Thinh Nguyen, Alan Fern
2012	J	`jnl`	Active Imitation Learning via Reduction to I.I.D. Active Learning CoRR Kshitij Judah, Alan Fern, Thomas G. Dietterich
2012	A	`conf`	Active Imitation Learning via Reduction to I.I.D. Active Learning. UAI Kshitij Judah, Alan Fern, Thomas G. Dietterich
2012	A*	`conf`	Batch Active Learning via Coordinated Matching. ICML Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa
2012	B	`conf`	Faster program adaptation through reward attribution inference. GPCE Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
2012	J	`jnl`	Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games CoRR Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
2012	A	`conf`	Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. UAI Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
2012	—	`conf`	Learning-Based Test Programming for Programmers. ISoLA (1) Alex Groce, Alan Fern, Martin Erwig, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour
2012	A	`conf`	Lightweight Automated Testing with Adaptation-Based Programming. ISSRE Alex Groce, Alan Fern, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour, Martin Erwig, Camden Lopez
2012	A*	`conf`	Output Space Search for Structured Prediction. ICML Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli
2012	A*	`conf`	Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon
2012	A*	`conf`	Scheduling Conservation Designs via Network Cascade Optimization. AAAI Shan Xue, Alan Fern, Daniel Sheldon
2012	—	`conf`	Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach. ICML Unsupervised and Transfer Learning Aaron Wilson, Alan Fern, Prasad Tadepalli
2011	—	`conf`	Adaptation-Based Programming in Haskell DSL Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
2011	C	`conf`	Adaptation-based programming for network protocol design: An 802.11x case study (abstract). IPCCC Pingan Zhu, Jervis Pinto, Alan Fern, Thinh P. Nguyen
2011	C	`conf`	Adaptation-based programming in java. PEPM Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
2011	J	`jnl`	An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment. AI Mag. David J. Stracuzzi, Alan Fern, Kamal Ali, Robin Hess, Jervis Pinto, Nan Li, Tolga Könik, Daniel G. Shapiro
2011	J	`jnl`	Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes CoRR Alan Fern, Robert Givan, Sung Wook Yoon
2011	—	`conf`	Autonomous Learning of Action Models for Planning. NIPS Neville Mehta, Prasad Tadepalli, Alan Fern
2011	—	`conf`	Budgeted Optimization with Concurrent Stochastic-Duration Experiments. NIPS Javad Azimi, Alan Fern, Xiaoli Z. Fern
2011	J	`jnl`	Enabling opportunistic and dynamic spectrum access through learning techniques. Wirel. Commun. Mob. Comput. Omar Alsaleh, Pavithra Venkatraman, Bechir Hamdaoui, Alan Fern
2011	A*	`conf`	Ensemble Monte-Carlo Planning: An Empirical Study. ICAPS Alan Fern, Paul Lewis
2011	C	`conf`	Improving Policy Gradient Estimates with Influence Information. ACML Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig
2011	—	`conf`	Learning First-Order Definite Theories via Object-Based Queries. ECML/PKDD (3) Joseph Selman, Alan Fern
2011	—	`conf`	Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe
2011	—	`conf`	PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation. ICCV Workshops Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic
2011	A*	`conf`	Probabilistic event logic for interval-based event recognition. CVPR William Brendel, Alan Fern, Sinisa Todorovic
2011	J	`jnl`	Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video CoRR Alan Fern, Robert Givan, Jeffrey Mark Siskind
2011	J	`jnl`	The first learning track of the international planning competition. Mach. Learn. Alan Fern, Roni Khardon, Prasad Tadepalli
2010	—	`conf`	A Computational Decision Theory for Interactive Assistants. Interactive Decision Theory and Game Theory Alan Fern, Prasad Tadepalli
2010	—	`conf`	A Computational Decision Theory for Interactive Assistants. NIPS Alan Fern, Prasad Tadepalli
2010	—	`conf`	Batch Bayesian Optimization via Simulation Matching. NIPS Javad Azimi, Alan Fern, Xiaoli Z. Fern
2010	A*	`conf`	Bayesian Policy Search for Multi-Agent Role Discovery. AAAI Aaron Wilson, Alan Fern, Prasad Tadepalli
2010	A	`conf`	Bayesian role discovery for multi-agent reinforcement learning. AAMAS Aaron Wilson, Alan Fern, Prasad Tadepalli
2010	—	`conf`	Incorporating Domain Models into Bayesian Optimization for RL. ECML/PKDD (3) Aaron Wilson, Alan Fern, Prasad Tadepalli
2010	A*	`conf`	Iterative Learning of Weighted Rule Sets for Greedy Search. ICAPS Yuehua Xu, Alan Fern, Sung Wook Yoon
2010	A*	`conf`	Myopic Policies for Budgeted Optimization with Constrained Experiments. AAAI Javad Azimi, Xiaoli Z. Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller
2010	J	`jnl`	On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks. Wirel. Pers. Commun. Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern
2010	B	`conf`	Q-learning for opportunistic spectrum access. IWCMC Omar Alsaleh, Bechir Hamdaoui, Alan Fern
2010	A*	`conf`	Reinforcement Learning Via Practice and Critique Advice. AAAI Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich
2010	C	`conf`	Robust Learning for Adaptive Programs by Leveraging Program Structure. ICMLA Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig
2010	—	`ch.`	Speedup Learning. Encyclopedia of Machine Learning Alan Fern
2009	J	`jnl`	A Penalty-Logic Simple-Transition Model for Structured Sequences. Comput. Intell. Alan Fern
2009	A*	`conf`	Discriminatively trained particle filters for complex multi-object tracking. CVPR Robin Hess, Alan Fern
2009	J	`jnl`	Learning Linear Ranking Functions for Beam Search with Application to Planning. J. Mach. Learn. Res. Yuehua Xu, Alan Fern, Sung Wook Yoon
2009	A*	`conf`	Lower Bounding Klondike Solitaire with Monte-Carlo Planning. ICAPS Ronald Bjarnason, Alan Fern, Prasad Tadepalli
2009	C	`conf`	Simulation-based Optimization of Resource Placement and Emergency Response. IAAI Ronald Bjarnason, Prasad Tadepalli, Alan Fern, Carl Niedner
2009	A*	`conf`	UCT for Tactical Assault Planning in Real-Time Strategy Games. IJCAI Radha-Krishna Balla, Alan Fern
2008	J	`jnl`	Learning Control Knowledge for Forward Search Planning. J. Mach. Learn. Res. Sung Wook Yoon, Alan Fern, Robert Givan
2008	J	`jnl`	Learning first-order probabilistic models with combining rules. Ann. Math. Artif. Intell. Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern
2008	A*	`conf`	Probabilistic Planning via Determinization in Hindsight. AAAI Sung Wook Yoon, Alan Fern, Robert Givan, Subbarao Kambhampati
2008	A*	`conf`	Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks. AAAI Scott Dejmal, Alan Fern, Thinh P. Nguyen
2008	J	`jnl`	Scalable Video Streaming for Single-Hop Wireless Networks Using a Contention-Based Access MAC Protocol. Adv. Multim. Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern
2008	J	`jnl`	Transfer in variable-reward hierarchical reinforcement learning. Mach. Learn. Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern
2007	—	`conf`	A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern
2007	—	`conf`	A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. Interaction Challenges for Intelligent Assistants Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern
2007	A*	`conf`	A Decision-Theoretic Model of Assistance. IJCAI Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli
2007	B	`conf`	A Relational Hierarchical Model for Decision-Theoretic Assistance. ILP Sriraam Natarajan, Prasad Tadepalli, Alan Fern
2007	A*	`conf`	Discriminative Learning of Beam-Search Heuristics for Planning. IJCAI Yuehua Xu, Alan Fern, Sung Wook Yoon
2007	—	`conf`	Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies. Probabilistic, Logical and Relational Learning - A Further Synthesis Sriraam Natarajan, Prasad Tadepalli, Alan Fern
2007	A*	`conf`	FF-Replan: A Baseline for Probabilistic Planning. ICAPS Sung Wook Yoon, Alan Fern, Robert Givan
2007	A*	`conf`	Improved Video Registration using Non-Distinctive Local Image Features. CVPR Robin Hess, Alan Fern
2007	A*	`conf`	Learning for efficient retrieval of structured data with noisy queries. ICML Charles Parker, Alan Fern, Prasad Tadepalli
2007	A*	`conf`	Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets. ICCV Robin Hess, Alan Fern, Eric N. Mortensen
2007	A*	`conf`	Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli
2007	A*	`conf`	On learning linear ranking functions for beam search. ICML Yuehua Xu, Alan Fern
2007	A*	`conf`	Online Planning for Resource Production in Real-Time Strategy Games. ICAPS Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chris Ventura
2007	A*	`conf`	Revisiting Output Coding for Sequential Supervised Learning. IJCAI Guohua Hao, Alan Fern
2007	J	`jnl`	Searching Solitaire in Real Time. ICGA J. Ronald Bjarnason, Prasad Tadepalli, Alan Fern
2007	A*	`conf`	Using Learned Policies in Heuristic-Search Planning. IJCAI Sung Wook Yoon, Alan Fern, Robert Givan
2007	A	`conf`	Wireless Video Streaming with Collaborative Admission Control for Home Networks. ICME Monchai Lertsutthiwong, Thinh P. Nguyen, Alan Fern
2006	J	`jnl`	Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. J. Artif. Intell. Res. Alan Fern, Sung Wook Yoon, Robert Givan
2006	J	`jnl`	Dynamic feature selection for hardware prediction. J. Syst. Archit. Alan Fern, Robert Givan, Babak Falsafi, T. N. Vijaykumar
2006	A*	`conf`	Gradient Boosting for Sequence Alignment. AAAI Charles Parker, Alan Fern, Prasad Tadepalli
2006	A*	`conf`	Learning Heuristic Functions from Relaxed Plans. ICAPS Sung Wook Yoon, Alan Fern, Robert Givan
2006	J	`jnl`	Sequential inference with reliable observations: Learning to construct force-dynamic models. Artif. Intell. Alan Fern, Robert Givan
2005	A*	`conf`	A Simple-Transition Model for Relational Sequences. IJCAI Alan Fern
2005	A*	`conf`	Learning Measures of Progress for Planning Domains. AAAI Sung Wook Yoon, Alan Fern, Robert Givan
2005	A*	`conf`	Learning first-order probabilistic models with combining rules. ICML Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar
2004	A*	`conf`	Learning Domain-Specific Control Knowledge from Random Walks. ICAPS Alan Fern, Sung Wook Yoon, Robert Givan
2004	—	`—`	Learning models and formulas of a temporal event logic Alan Fern
2004	A*	`conf`	Relational sequential inference with reliable observations. ICML Alan Fern, Robert Givan
2003	—	`conf`	Approximate Policy Iteration with a Policy Language Bias. NIPS Alan Fern, Sung Wook Yoon, Robert Givan
2003	J	`jnl`	Online Ensemble Learning: An Empirical Study. Mach. Learn. Alan Fern, Robert Givan
2002	A	`conf`	Inductive Policy Selection for First-Order MDPs. UAI Sung Wook Yoon, Alan Fern, Robert Givan
2002	—	`conf`	Learning Temporal, Relational, Force-Dynamic Event Definitions from Video. AAAI/IAAI Alan Fern, Jeffrey Mark Siskind, Robert Givan
2002	J	`jnl`	Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video. J. Artif. Intell. Res. Alan Fern, Robert Givan, Jeffrey Mark Siskind
2002	—	`conf`	Specific-to-General Learning for Temporal Events. AAAI/IAAI Alan Fern, Robert Givan, Jeffrey Mark Siskind
2000	A*	`conf`	Online Ensemble Learning: An Empirical Study. ICML Alan Fern, Robert Givan
1998	J	`jnl`	Automatic extraction of drainage network from digital terrain elevation data: a local network approach. IEEE Trans. Geosci. Remote. Sens. Alan Fern, Mohamad T. Musavi, Jon Miranda
1997	—	`conf`	Automatic extraction of drainage networks from digital terrain elevation data: a local network approach. ICNN Alan Fern, Mohamad T. Musavi, Jon Miranda
1997	—	`conf`	Pulp digester level prediction using multiresolution networks of locally active units. ICNN Alan Fern, Jon Miranda, Mohamad T. Musavi, D. R. Coughlin