Alan Fern

发表

Fast Online Trajectory Optimization for the Bipedal Robot Cassie

Taylor Apgar, Patrick Clary, Kevin R. Green, 2018, Robotics: Science and Systems.

Learning Measures of Progress for Planning Domains

Robert Givan, Alan Fern, Sung Wook Yoon, 2005, AAAI.

Incorporating Domain Models into Bayesian Optimization for RL

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2010, ECML/PKDD.

Multi-task reinforcement learning: a hierarchical Bayesian approach

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2007, ICML '07.

Reinforcement Learning Via Practice and Critique Advice

Thomas G. Dietterich, Alan Fern, Saikat Roy, 2010, AAAI.

Approximate Policy Iteration with a Policy Language Bias

Robert Givan, Alan Fern, Sung Wook Yoon, 2003, NIPS.

Inductive Policy Selection for First-Order MDPs

Robert Givan, Alan Fern, Sung Wook Yoon, 2002, UAI.

Transfer in variable-reward hierarchical reinforcement learning

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2008, Machine Learning.

A Behavior Based Kernel for Policy Search via Bayesian Optimization

Alan Fern, A. Wilson, Aaron Wilson, 2011 .

Learning and Transferring Roles in Multi-Agent Reinforcement

Alan Fern, Prasad Tadepalli, A. Wilson, 2008 .

Active Imitation Learning via State Queries

Alan Fern, Kshitij Judah, 2011 .

Discriminatively trained particle filters for complex multi-object tracking

Alan Fern, Robin Hess, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

FF-Replan: A Baseline for Probabilistic Planning

Robert Givan, Alan Fern, Sung Wook Yoon, 2007, ICAPS.

Discriminative Learning of Beam-Search Heuristics for Planning

Alan Fern, Yuehua Xu, Sung Wook Yoon, 2007, IJCAI.

UCT for Tactical Assault Planning in Real-Time Strategy Games

Alan Fern, Radha-Krishna Balla, Alan Fern, 2009, IJCAI.

Detecting insider threats in a real corporate database of computer usage activity

Thomas G. Dietterich, Danai Koutra, Christos Faloutsos, 2013, KDD.

Imitation Learning with Demonstrations and Shaping Rewards

Alan Fern, Prasad Tadepalli, Kshitij Judah, 2014, AAAI.

Representation Independent Analytics Over Structured Data pdf

Yizhou Sun, Alan Fern, Jose Picado, 2014, ArXiv.

Learning Probabilistic Behavior Models in Real-Time Strategy Games

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2011, AIIDE.

Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2012, UAI.

KI-LEARN: Knowledge-Intensive Learning Methods for Knowledge-Rich/Data-Poor Domains

Thomas G. Dietterich, Alan Fern, Jianqiang Shen, 2006 .

Lower Bounding Klondike Solitaire with Monte-Carlo Planning

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2009, ICAPS.

A Decision-Theoretic Model of Assistance

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2007, IJCAI.

Planning in Factored Action Spaces with Symbolic Dynamic Programming

Alan Fern, Prasad Tadepalli, Roni Khardon, 2012, AAAI.

Gradient Boosting for Sequence Alignment

Alan Fern, Prasad Tadepalli, Charles Parker, 2006, AAAI.

Learning first-order probabilistic models with combining rules

Thomas G. Dietterich, Sriraam Natarajan, Alan Fern, 2005, Annals of Mathematics and Artificial Intelligence.

A Bayesian Approach for Policy Learning from Trajectory Preference Queries

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2012, NIPS.

Batch Bayesian Optimization via Simulation Matching

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2010, NIPS.

Learning Domain-Specific Control Knowledge from Random Walks

Robert Givan, Alan Fern, Sung Wook Yoon, 2004, ICAPS.

Searching Solitaire in Real Time

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2007, J. Int. Comput. Games Assoc..

Multitask Coactive Learning

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2015, IJCAI.

Multi-object Tracking via Constrained Sequential Labeling

Alan Fern, Sheng Chen, Sinisa Todorovic, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Online Ensemble Learning: An Empirical Study

Robert Givan, Alan Fern, Alan Fern, 2000, Machine Learning.

Using trajectory data to improve bayesian optimization for reinforcement learning

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2014, J. Mach. Learn. Res..

Learning to Walk without Dynamics Randomization

Kevin R. Green, Alan Fern, J. Hurst, 2020 .

Simulation-based Optimization of Resource Placement and Emergency Response

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2009, IAAI.

Q-learning for opportunistic spectrum access

Bechir Hamdaoui, Alan Fern, Omar Alsaleh, 2010, IWCMC.

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling

Steve Chien, Alan Fern, Wheeler Ruml, 2014 .

Computational sustainability

Thomas G. Dietterich, Steve Kelling, Warren B. Powell, 2011, AI Mag..

Extending Online Planning for Resource Production in Real-Time Strategy Games with Search

Alan Fern, Soumya Ray, Nick Wilson, 2007 .

Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets

Alan Fern, Eric N. Mortensen, Robin Hess, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Lightweight Automated Testing with Adaptation-Based Programming

Alex Groce, Alan Fern, Martin Erwig, 2012, 2012 IEEE 23rd International Symposium on Software Reliability Engineering.

Explainable Reinforcement Learning via Reward Decomposition

Alan Fern, Finale Doshi-Velez, M. Erwig, 2019 .

Budget-Aware Deep Semantic Video Segmentation

Alan Fern, Behrooz Mahasseni, Sinisa Todorovic, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

An Abstract of the Thesis of Title: Scaling Multiagent Reinforcement Learning Scaling Multiagent Reinforcement Learning

Ronald A. Metoyer, Alan Fern, S. Natarajan, 2009 .

Bidirectional Online Probabilistic Planning

Alan Fern, Prasad Tadepalli, Aswin Raghavan, 2011 .

Title : Predicting Activity Type from Accelerometer Data

Alan Fern, Weng-Keen Wong, S. Trost, 2012 .

1 Reinforcement Learning in Relational Domains : A Policy-Language Approach

Alan Fern, 2022 .

Machine Learning for the Knowledge Plane

Thomas G. Dietterich, Alan Fern, Prasad Tadepalli, 2006 .

Discriminatively trained particle filters for complex multi-object tracking

Alan Fern, Rob Hess, Alan Fern, 2009, CVPR.

Toward Discriminative Learning of Planning Heuristics

Alan Fern, Yuehua Xu, 2006 .

RECURRENT POLICY NETWORKS

Alan Fern, Anurag Koul, 2018 .

Learning Weighted Rule Sets for Forward Search Planning

Alan Fern, Yuehua Xu, 2009 .

Learning From Demonstrations via Structured Prediction

Thomas G. Dietterich, Alan Fern, Prasad Tadepalli, 2007 .

Editorial Manager(tm) for Wireless Personal Communications Manuscript Draft Manuscript Number: WIRE1004R1 Title: On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks

Alan Fern, Thinh P. Q. Nguyen, 2004 .

Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results

Mohamad H. Danesh, Alan Fern, 2021, ArXiv.

Offline Policy Comparison with Confidence: Benchmarks and Baselines

Alan Fern, Anurag Koul, Mariano Phielipp, 2022, ArXiv.

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2015, AAAI Fall Symposia.

Usable & Scalable Learning Over Relational Data With Automatic Language Bias.

Alan Fern, Jose Picado, Arash Termehchy, 2017, 1710.01420.

Can We Achieve Open Category Detection with Guarantees?

Thomas G. Dietterich, Alan Fern, Si Liu, 2018, AAAI Workshops.

Fabrication of Nanomodified Anodes for Power Density Enhancement of Microbial Fuel Cells

Alan Fern, Hong Liu, F. Chaplen, 2009 .

Oracle Analysis of Representations for Deep Open Set Detection

Thomas G. Dietterich, Alan Fern, Risheek Garrepalli, 2022, 2209.11350.

Grape Cold Hardiness Prediction via Multi-Task Learning

Alan Fern, M. Keller, Paola Pesántez-Cabrera, 2022, ArXiv.

Grape Cold Hardiness Prediction via Multi-Task Learning

Alan Fern, M. Keller, Paola Pesántez-Cabrera, 2022, ArXiv.

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking

Kevin R. Green, Alan Fern, J. Hurst, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Multi-Task Learning for Budbreak Prediction

Alan Fern, M. Keller, Paola Pesántez-Cabrera, 2023, ArXiv.

Grape Cold Hardiness Prediction via Multi-Task Learning

Alan Fern, M. Keller, Paola Pesántez-Cabrera, 2022, AAAI.

AN ABSTRACT OF THE THESIS OF

Alan Fern, T. Dietterich, Guohua Hao, 2009 .

Scalable and Usable Relational Learning With Automatic Language Bias

Alan Fern, Jose Picado, Arash Termehchy, 2021, SIGMOD Conference.

Logical scalability and efficiency of relational learning algorithms

Alan Fern, Jose Picado, Arash Termehchy, 2018, The VLDB Journal.

Towards Automatically Setting Language Bias in Relational Learning

Alan Fern, Jose Picado, Arash Termehchy, 2017, DEEM@SIGMOD.

Schema Independence of Learning Algorithms

Alan Fern, Jose Picado, Arash Termehchy, 2014 .

Adaptation-Based Programming in Haskell

Alan Fern, Martin Erwig, Tim Bauer, 2011, DSL.

Adaptation-based programming in java

Alan Fern, Martin Erwig, Tim Bauer, 2011, PEPM '11.

Sample-Based Tree Search with Fixed and Adaptive State Abstractions

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2017, J. Artif. Intell. Res..

Hindsight Optimization for Hybrid State and Action MDPs

Scott Sanner, Alan Fern, Prasad Tadepalli, 2017, AAAI.

Memory-Effcient Symbolic Online Planning for Factored MDPs

Alan Fern, Prasad Tadepalli, Roni Khardon, 2015, UAI.

Progressive Abstraction Refinement for Sparse Sampling

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2015, UAI.

Learning Partial Policies to Speedup MDP Tree Search

Alan Fern, Jervis Pinto, Alan Fern, 2014, UAI.

HDIP 2011 3rd Workshop on Heuristics for Domain-independent Planning

Patrik Haslum, Alan Fern, Michael Katz, 2011 .

Learning Control Knowledge for Forward Search Planning

Robert Givan, Alan Fern, Sung Wook Yoon, 2008, J. Mach. Learn. Res..

Systematic construction of anomaly detection benchmarks from real data pdf

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2013, ODD '13.

Robust Learning for Adaptive Programs by Leveraging Program Structure

Alan Fern, Martin Erwig, Tim Bauer, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Piecewise-constant Neural ODEs pdf

Alan Fern, Stefan Lee, Sam Greydanus, 2021, ArXiv.

A Meta-Analysis of the Anomaly Detection Problem

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2015 .

Feedback-Guided Anomaly Discovery via Online Optimization

Thomas G. Dietterich, Alan Fern, David W. Archer, 2018, KDD.

Visualizing and Understanding Atari Agents pdf

Jonathan Dodge, Alan Fern, Sam Greydanus, 2017, ICML.

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study pdf

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, 2019, IJCAI.

Learning and transferring roles in multi-agent MDPs

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2008, AAAI 2008.

Efficiently Constructing Mosaics from Video Collections

Alan Fern, Frank Liu, Robin Hess, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Detecting the Moment of Snap in Real-World Football Videos

Alan Fern, Sheng Chen, Behrooz Mahasseni, 2013, IAAI.

Improved Video Registration using Non-Distinctive Local Image Features

Alan Fern, Robin Hess, Alan Fern, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Pruning Rules for Heuristic Search Planning

Olivier Buffet, Jörg Hoffmann, Alan Fern, 2014, ECAI.

Video Camera

Robert Givan, Alan Fern, Alan Fern, 2009, Encyclopedia of Biometrics.

Specific-to-general learning for temporal events

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, AAAI/IAAI.

Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, J. Artif. Intell. Res..

The first learning track of the international planning competition

Alan Fern, Prasad Tadepalli, Roni Khardon, 2011, Machine Learning.

Relational sequential inference with reliable observations

Robert Givan, Alan Fern, Alan Fern, 2004, ICML.

Relational Sequential Inference with Reliable Observations ( draft )

Alan Fern, R. Givan, 2004 .

An Empirical Study of Bayesian Optimization: Acquisition Versus Partition

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2021, J. Mach. Learn. Res..

Myopic Policies for Budgeted Optimization with Constrained Experiments

Hong Liu, Alan Fern, Xiaoli Z. Fern, 2010, AAAI.

Play type recognition in real-world football video

Alan Fern, Sheng Chen, Behrooz Mahasseni, 2014, IEEE Winter Conference on Applications of Computer Vision.

A Computational Decision Theory for Interactive Assistants

Alan Fern, Prasad Tadepalli, Alan Fern, 2010, Interactive Decision Theory and Game Theory.

Learning Finite State Representations of Recurrent Policy Networks pdf

Alan Fern, Sam Greydanus, Anurag Koul, 2018, ICLR.

Sequential inference with reliable observations: Learning to construct force-dynamic models

Robert Givan, Alan Fern, Alan Fern, 2006, Artif. Intell..

Budgeted Optimization with Concurrent Stochastic-Duration Experiments

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2011, NIPS.

Mental Models of Mere Mortals with Explanations of Reinforcement Learning

Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, 2020, ACM Trans. Interact. Intell. Syst..

After-Action Review for AI (AAR/AI)

Alan Fern, M. Burnett, Jed Irvine, 2021, ACM Trans. Interact. Intell. Syst..

Keeping it "organized and logical": after-action review for AI (AAR/AI)

Evan Newman, Alan Fern, Margaret Burnett, 2020, IUI.

Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning pdf

Alan Fern, Kevin Green, Jonathan Hurst, 2021, Robotics: Science and Systems.

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition pdf

Alan Fern, Jonathan Hurst, Yesh Godse, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Probabilistic event logic for interval-based event recognition

Alan Fern, William Brendel, Sinisa Todorovic, 2011, CVPR 2011.

Oracle Analysis of Representations for Deep Open Set Detection

Thomas G. Dietterich, Alan Fern, Risheek Garrepalli, 2022, arXiv.org.

Open Category Detection with PAC Guarantees pdf

Thomas G. Dietterich, Alan Fern, Si Liu, 2018, ICML.

Learning Memory-Based Control for Human-Scale Bipedal Locomotion pdf

Alan Fern, Helei Duan, Jeremy Dao, 2020, Robotics: Science and Systems.

Learning Task Space Actions for Bipedal Locomotion

Alan Fern, Helei Duan, Jeremy Dao, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Training Deep Reactive Policies for Probabilistic Planning Problems

Alan Fern, Prasad Tadepalli, Murugeswari Issakkimuthu, 2018, ICAPS.

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads

Kevin R. Green, Alan Fern, J. Hurst, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

Kevin R. Green, Alan Fern, J. Hurst, 2020, IEEE Robotics and Automation Letters.

Dynamic Bipedal Maneuvers through Sim-to-Real Reinforcement Learning

Kevin R. Green, Alan Fern, J. Hurst, 2022, ArXiv.

Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning

Kevin R. Green, Alan Fern, J. Hurst, 2022, 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).

Finite Sample Complexity of Rare Pattern Anomaly Detection

Thomas G. Dietterich, Shubhomoy Das, Alan Fern, 2016, UAI.

Probabilistic Planning via Determinization in Hindsight

Subbarao Kambhampati, Robert Givan, Alan Fern, 2008, AAAI.

“Why did my AI agent lose?”: Visual Analytics for Scaling Up After-Action Review

Alan Fern, M. Burnett, Jed Irvine, 2021, 2021 IEEE Visualization Conference (VIS).

Learning temporal, relational, force-dynamic event definitions from video

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, AAAI/IAAI.

Relational Markov Decision Processes: Promise and Prospects

Alan Fern, Prasad Tadepalli, Roni Khardon, 2013, StarAI@AAAI.

Monte-Carlo Planning for Agile Legged Locomotion

Alan Fern, Jonathan W. Hurst, Pedro Morais, 2018, ICAPS.

Monte Carlo Tree Search for Scheduling Activity Recognition

Mohamed R. Amer, Alan Fern, Song-Chun Zhu, 2013, 2013 IEEE International Conference on Computer Vision.

Speedup Learning

Alan Fern, Alan Fern, 2010, Encyclopedia of Machine Learning.

Learning Linear Ranking Functions for Beam Search with Application to Planning

Alan Fern, Yuehua Xu, Sung Wook Yoon, 2009, J. Mach. Learn. Res..

Re-understanding Finite-State Representations of Recurrent Policy Networks pdf

Alan Fern, Saeed Khorram, Mohamad H. Danesh, 2020, ICML.

Dynamic Resource Allocation for Optimizing Population Diffusion

Alan Fern, Daniel Sheldon, Shan Xue, 2014, AISTATS.

Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization

Alan Fern, Daniel Sheldon, Shan Xue, 2015, J. Artif. Intell. Res..

Learning Heuristic Functions from Relaxed Plans

Robert Givan, Alan Fern, Sung Wook Yoon, 2006, ICAPS.

A PENALTY‐LOGIC SIMPLE‐TRANSITION MODEL FOR STRUCTURED SEQUENCES

Alan Fern, Alan Fern, 2009, Comput. Intell..

A Simple-Transition Model for Relational Sequences

Alan Fern, Alan Fern, 2005, IJCAI.

Active Imitation Learning of Hierarchical Policies

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2015, IJCAI.

Incorporating Expert Feedback into Active Anomaly Discovery

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Bayesian Optimization with Resource Constraints and Production

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2016, ICAPS.

Bayesian Policy Search for Multi-Agent Role Discovery

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2010, AAAI.

Active Imitation Learning via Reduction to I.I.D. Active Learning

Thomas G. Dietterich, Alan Fern, Kshitij Judah, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework pdf

Alan Fern, Janardhan Rao Doppa, Syrine Belakaria, 2020, AAAI.

Dynamic feature selection for hardware prediction

Babak Falsafi, Robert Givan, Alan Fern, 2006, J. Syst. Archit..

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs pdf

Alan Fern, Prasad Tadepalli, Stefan Lee, 2020, ICLR.

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study

Alan Fern, M. Burnett, Jed Irvine, 2019, IJCAI.

Discovering Anomalies by Incorporating Feedback from an Expert

Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, 2020, ACM Trans. Knowl. Discov. Data.

Emergency Response Optimization using Online Hybrid Planning

Alan Fern, Prasad Tadepalli, Aswin Raghavan, 2018, IJCAI.

Interactive Naming for Explaining Deep Neural Networks: A Formative Study pdf

Alan Fern, Prasad Tadepalli, Fuxin Li, 2018, IUI Workshops.

On learning linear ranking functions for beam search

Alan Fern, Yuehua Xu, Alan Fern, 2007, ICML '07.

State Aggregation in Monte Carlo Tree Search

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2014, AAAI.

Active lmitation learning: formal and practical reductions to I.I.D. learning

Thomas G. Dietterich, Alan Fern, Prasad Tadepalli, 2014, J. Mach. Learn. Res..

Batch Active Learning via Coordinated Matching

Glencora Borradaile, Alan Fern, Xiaoli Z. Fern, 2012, ICML.

HC-Search: A Learning Framework for Search-based Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Artif. Intell. Res..

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2013, AAAI.

Output Space Search for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2012, ICML.

Structured prediction via output space search

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Mach. Learn. Res..

Reinforcement Learning Via Practice and Critique Advice

Thomas G. Dietterich, Alan Fern, Kshitij Judah, 2010, AAAI.

Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions pdf

Alan Fern, Zhengxian Lin, Kim-Ho Lam, 2020, ICLR.

One Explanation is Not Enough: Structured Attention Graphs for Image Classification

Alan Fern, Minsuk Kahng, L. Fuxin, 2020, NeurIPS.

Finding AI’s Faults with AAR/AI: An Empirical Study

Alan Fern, Jed Irvine, Jonathan Dodge, 2022, ACM Trans. Interact. Intell. Syst..

Multi-task reinforcement learning: a hierarchical Bayesian approach

Alan Fern, Prasad Tadepalli, Soumya Ray, 2007, ICML '07.

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations pdf

Jed Irvine, Alan Fern, Minsuk Kahng, 2021, ArXiv.

Learning Dynamic Bipedal Walking Across Stepping Stones

Alan Fern, J. Hurst, Jeremy Dao, 2022, IEEE/RJS International Conference on Intelligent RObots and Systems.