George Konidaris

George Konidaris

Brown University

H-index: 46

North America-United States

About George Konidaris

George Konidaris, With an exceptional h-index of 46 and a recent h-index of 38 (since 2020), a distinguished researcher at Brown University, specializes in the field of Artificial Intelligence, Machine Learning, Reinforcement Learning, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Model-based Reinforcement Learning for Parameterized Action Spaces

Language-guided Skill Learning with Temporal Variational Inference

Verifiably Following Complex Robot Instructions with Foundation Models

Robot Task Planning Under Local Observability

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning

Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills

Motion planning of a robot for various environments and tasks and improved operation of same

RLang: a declarative language for describing partial world knowledge to reinforcement learning agents

George Konidaris Information

University

Position

___

Citations(all)

8270

Citations(since 2020)

5544

Cited By

4593

hIndex(all)

46

hIndex(since 2020)

38

i10Index(all)

91

i10Index(since 2020)

77

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

George Konidaris Skills & Research Interests

Artificial Intelligence

Machine Learning

Reinforcement Learning

Robotics

Top articles of George Konidaris

Title

Journal

Author(s)

Publication Date

Model-based Reinforcement Learning for Parameterized Action Spaces

arXiv preprint arXiv:2404.03037

Renhao Zhang

Haotian Fu

Yilin Miao

George Konidaris

2024/4/3

Language-guided Skill Learning with Temporal Variational Inference

arXiv preprint arXiv:2402.16354

Haotian Fu

Pratyusha Sharma

Elias Stengel-Eskin

George Konidaris

Nicolas Le Roux

...

2024/2/26

Verifiably Following Complex Robot Instructions with Foundation Models

arXiv preprint arXiv:2402.11498

Benedict Quartey

Eric Rosen

Stefanie Tellex

George Konidaris

2024/2/18

Robot Task Planning Under Local Observability

Proceedings of the 2024 IEEE Conference on Robotics and Automation

Max Merlin

Shane Parr

Neev Parikh

Sergio Orozco

Vedant Gupta

...

2024/5

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning

Advances in Neural Information Processing Systems

Akhil Bagaria

Ben Abbatematteo

Omer Gottesman

Matt Corsaro

Sreehari Rammohan

...

2024/2/13

Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills

Proceedings of the 2024 IEEE Conference on Robotics and Automation

Ben Abbatematteo

Eric Rosen

Skye Thompson

Tuluhan Akbulut

Sreehari Rammohan

...

2024/5

Motion planning of a robot for various environments and tasks and improved operation of same

2023/11/2

RLang: a declarative language for describing partial world knowledge to reinforcement learning agents

Rafael Rodriguez-Sanchez

Benjamin Adin Spiegel

Jennifer Wang

Roma Patel

Stefanie Tellex

...

2023/7/3

Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback

Ifrah Idrees

Tian Yun

Naveen Sharma

Yunxin Deng

Nakul Gopalan

...

2023/10/1

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces

Omer Gottesman

Kavosh Asadi

Cameron S Allen

Samuel Lobel

George Konidaris

...

2023/4/11

Learning Abstract World Models for Value-preserving Planning with Options

Rafael Rodriguez-Sanchez

George Konidaris

2023/12/4

Flipping coins to estimate pseudocounts for exploration in reinforcement learning

Sam Lobel

Akhil Bagaria

George Konidaris

2023/7/3

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments

Seiji Shaw

Devesh K Jha

Arvind U Raghunathan

Radu Corcodel

Diego Romeres

...

2023/10/1

Automatic encoding and repair of reactive high-level tasks with learned abstract representations

The International Journal of Robotics Research

Adam Pacheck

Steven James

George Konidaris

Hadas Kress-Gazit

2023/4

Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills

Eric Rosen

Steven James

Sergio Orozco

Vedant Gupta

Max Merlin

...

2023/12/2

Skill generalization with verbs

Rachel Ma

Lyndon Lam

Benjamin A Spiegel

Aditya Ganeshan

Roma Patel

...

2023/10/1

Q-functionals for value-based continuous control

Proceedings of the AAAI Conference on Artificial Intelligence

Samuel Lobel

Sreehari Rammohan

Bowen He

Shangqun Yu

George Konidaris

2023/6/26

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks

arXiv preprint arXiv:2303.05038

Benedict Quartey

Ankit Shah

George Konidaris

2023/3/9

Motion planning of a robot storing a discretized environment on one or more processors and improved operation of same

2023/11/9

Task Scoping: Generating Task-Specific Simplifications of Open-Scope Planning Problems

Michael Fishman

Nishanth Kumar

Cameron Allen

Natasha Danas

Michael Littman

...

2023/8/17

See List of Professors in George Konidaris University(Brown University)

Co-Authors

H-index: 101
Jonathan P. How

Jonathan P. How

Massachusetts Institute of Technology

H-index: 93
Michael Littman

Michael Littman

Brown University

H-index: 91
Andrew Barto

Andrew Barto

University of Massachusetts Amherst

H-index: 70
Tomas Lozano-Perez

Tomas Lozano-Perez

Massachusetts Institute of Technology

H-index: 52
Finale Doshi-Velez

Finale Doshi-Velez

Harvard University

H-index: 43
Daniel J. Sorin

Daniel J. Sorin

Duke University

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