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George Konidaris

George Konidaris

D-Index & Metrics

Computer Science

D-Index
47
Citations
10188
World Ranking
6431
National Ranking
2865

Overview

George Konidaris is affiliated with Brown University in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and robotics. Their research encompasses a broad range of topics including reinforcement learning, robot manipulation, AI-based problem solving, and planning.

The scientist's primary fields of study include:

  • Computer Science

Within this domain, key subfields of study are:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Computer Networks and Communications

Konidaris's main research topics cover:

  • Reinforcement Learning in Robotics
  • Robot Manipulation and Learning
  • AI-based Problem Solving and Planning
  • Robotic Path Planning Algorithms
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Algorithms

Their recent published papers include:

  • Learning Parameterized Skills, 2021, Scholarworks (University of Massachusetts Amherst)
  • Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration, 2020, IEEE Transactions on Robotics
  • IKFlow: Generating Diverse Inverse Kinematics Solutions, 2022, IEEE Robotics and Automation Letters
  • Multi-Resolution POMDP Planning for Multi-Object Search in 3D, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • A domain-agnostic approach for characterization of lifelong learning systems, 2023, Neural Networks

Their frequent co-authors are:

  • Stefanie Tellex
  • Michael L. Littman
  • Haotian Fu
  • Shangqun Yu
  • Ben Abbatematteo

Konidaris's work has been published in a variety of venues notable for the fields of artificial intelligence and robotics, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 International Conference on Robotics and Automation (ICRA)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Robotics and Automation Letters

Best Publications

  • Value function approximation in reinforcement learning using the fourier basis

    George Konidaris;Sarah Osentoski;Philip Thomas

  • Robot learning from demonstration by constructing skill trees

    George Konidaris;Scott Kuindersma;Roderic Grupen;Andrew Barto

  • Building portable options: skill transfer in reinforcement learning

    George Konidaris;Andrew Barto

  • Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining

    George Konidaris;Andre S. Barreto

  • LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics

    Alejandro Perez;Robert Platt;George Konidaris;Leslie Kaelbling

  • Autonomous shaping: knowledge transfer in reinforcement learning

    George Konidaris;Andrew Barto

  • From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning

    George Dimitri Konidaris;Leslie Pack Kaelbling;Tomás Lozano-Pérez

  • A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms

    Oliver Kroemer;Scott Niekum;George Dimitri Konidaris

  • Learning grounded finite-state representations from unstructured demonstrations

    Scott Niekum;Sarah Osentoski;George Konidaris;Sachin Chitta

  • Learning and generalization of complex tasks from unstructured demonstrations

    Scott Niekum;Sarah Osentoski;George Konidaris;Andrew G. Barto

  • Reinforcement learning with parameterized actions

    Warwick Masson;Pravesh Ranchod;George Konidaris

  • Learning multi-level hierarchies with hindsight

    Andrew Levy;George Dimitri Konidaris;Robert Platt;Kate Saenko

  • Learning Parameterized Skills

    Bruno D. Silva;George Konidaris;Andrew G. Barto

  • Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality

    David Whitney;Eric Rosen;Elizabeth Phillips;George Dimitri Konidaris

  • Transfer in reinforcement learning via shared features

    George Konidaris;Ilya Scheidwasser;Andrew G. Barto

  • Constructing symbolic representations for high-level planning

    George Konidaris;Leslie Pack Kaelbling;Tomas Lozano-Perez

  • Robot Motion Planning on a Chip

    Sean Murray;Will Floyd-Jones;Ying Qi;Daniel J. Sorin

  • Policy search for multi-robot coordination under uncertainty

    Christopher Amato;George Konidaris;Ariel Anders;Gabriel Cruz

  • Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays:

    Eric Rosen;David Whitney;Elizabeth Phillips;Gary Chien

  • Planning for decentralized control of multiple robots under uncertainty

    Christopher Amato;George Konidaris;Gabriel Cruz;Christopher A. Maynor

  • Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories

    George Konidaris;Scott Kuindersma;Roderic Grupen;Andre S. Barreto

Frequent Co-Authors

Stefanie Tellex
Stefanie Tellex Brown University
Andrew G. Barto
Andrew G. Barto University of Massachusetts Amherst
Michael L. Littman
Michael L. Littman Brown University
Finale Doshi-Velez
Finale Doshi-Velez Harvard University
Daniel J. Sorin
Daniel J. Sorin Duke University
Roderic A. Grupen
Roderic A. Grupen University of Massachusetts Amherst
Gerald Tesauro
Gerald Tesauro IBM (United States)

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