World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7251
World Ranking
6595
National Ranking
2913

Overview

Alan Fern is affiliated with Oregon State University in the United States. Their research spans multiple areas within computer science and engineering, particularly focusing on artificial intelligence and robotics.

Fern has contributed extensively to the study of robotic locomotion and control as well as reinforcement learning applied to robotics. Their work also encompasses explainable artificial intelligence (XAI), adversarial robustness in machine learning, prosthetics and rehabilitation robotics, human pose and action recognition, and anomaly detection techniques and applications.

Their publication record includes a significant number of works in leading venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Interactive Intelligent Systems
  • Applied AI Letters
  • 2022 International Conference on Robotics and Automation (ICRA)

Some of the recent papers authored by or including Alan Fern are:

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning, 2020, ACM Transactions on Interactive Intelligent Systems
  • Special report: The AgAID AI institute for transforming workforce and decision support in agriculture, 2022, Computers and Electronics in Agriculture
  • Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Planning in Factored Action Spaces with Symbolic Dynamic Programming, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning, 2022, 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

Throughout their career, Alan Fern has collaborated frequently with other researchers. Notable frequent coauthors include:

  • Jeremy Dao
  • Jonathan Hurst
  • Prasad Tadepalli
  • Kevin Green
  • Helei Duan

In terms of fields of study, the main areas of Alan Fern's research are:

  • Computer Science
  • Engineering

Their work covers a variety of subfields such as:

  • Artificial Intelligence
  • Biomedical Engineering
  • Control and Systems Engineering
  • Plant Science
  • Computer Vision and Pattern Recognition

Best Publications

  • FF-Replan: a baseline for probabilistic planning

    Sungwook Yoon;Alan Fern;Robert Givan

  • Multi-task reinforcement learning: a hierarchical Bayesian approach

    Aaron Wilson;Alan Fern;Soumya Ray;Prasad Tadepalli

  • UCT for tactical assault planning in real-time strategy games

    Radha-Krishna Balla;Alan Fern

  • Visualizing and Understanding Atari Agents.

    Samuel Greydanus;Anurag Koul;Jonathan Dodge;Alan Fern

  • Online Ensemble Learning: An Empirical Study

    Alan Fern;Robert Givan

  • Probabilistic planning via determinization in hindsight

    Sungwook Yoon;Alan Fern;Robert Givan;Subbarao Kambhampati

  • Discriminatively trained particle filters for complex multi-object tracking

    Rob Hess;Alan Fern

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

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • Incorporating Expert Feedback into Active Anomaly Discovery

    Shubhomoy Das;Weng-Keen Wong;Thomas Dietterich;Alan Fern

  • Approximate policy iteration with a policy language bias: solving relational Markov decision processes

    Alan Fern;Sungwook Yoon;Robert Givan

  • Probabilistic event logic for interval-based event recognition

    William Brendel;Alan Fern;Sinisa Todorovic

  • Fast Online Trajectory Optimization for the Bipedal Robot Cassie

    Taylor Apgar;Patrick Clary;Kevin Green;Alan Fern

  • Systematic construction of anomaly detection benchmarks from real data

    Andrew F. Emmott;Shubhomoy Das;Thomas Dietterich;Alan Fern

  • A Bayesian Approach for Policy Learning from Trajectory Preference Queries

    Aaron Wilson;Alan Fern;Prasad Tadepalli

  • Approximate Policy Iteration with a Policy Language Bias

    Alan Fern;Sungwook Yoon;Robert Givan

  • Transfer in variable-reward hierarchical reinforcement learning

    Neville Mehta;Sriraam Natarajan;Prasad Tadepalli;Alan Fern

  • Learning probabilistic behavior models in real-time strategy games

    Ethan Dereszynski;Jesse Hostetler;Alan Fern;Tom Dietterich

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

    Jonah Siekmann;Kevin Green;John Warila;Alan Fern

  • Learning Control Knowledge for Forward Search Planning

    Sungwook Yoon;Alan Fern;Robert Givan

  • Lower bounding Klondike Solitaire with Monte-Carlo planning

    Ronald Bjarnason;Alan Fern;Prasad Tadepalli

  • A decision-theoretic model of assistance

    Alan Fern;Sriraam Natarajan;Kshitij Judah;Prasad Tadepalli

  • Batch Bayesian Optimization via Simulation Matching

    Javad Azimi;Alan Fern;Xiaoli Z. Fern

Frequent Co-Authors

Prasad Tadepalli
Prasad Tadepalli Oregon State University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Weng-Keen Wong
Weng-Keen Wong Oregon State University
Martin Erwig
Martin Erwig Oregon State University
Sinisa Todorovic
Sinisa Todorovic Oregon State University
Margaret Burnett
Margaret Burnett Oregon State University
Stefan Lee
Stefan Lee Oregon State University
Alex Groce
Alex Groce Northern Arizona University
Bechir Hamdaoui
Bechir Hamdaoui Oregon State University
Jun Jiao
Jun Jiao Portland State University

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