Tom Jurgenson

According to our database, Tom Jurgenson authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations.

Guy Freund, Tom Jurgenson, Matan Sudry, Erez Karpas

CoRR, February, 2026

VLM-Guided Experience Replay.

Elad Sharony, Tom Jurgenson, Orr Krupnik, Dotan Di Castro, Shie Mannor

CoRR, February, 2026

2025

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees.

Yaniv Hassidof, Tom Jurgenson, Kiril Solovey

CoRR, August, 2025

2024

RoboArm-NMP: a Learning Environment for Neural Motion Planning.

Tom Jurgenson, Matan Sudry, Gal Avineri, Aviv Tamar

CoRR, 2024

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning.

Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Goal-Conditioned Supervised Learning with Sub-Goal Prediction.

Tom Jurgenson, Aviv Tamar

CoRR, 2023

Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model.

Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas

Proceedings of the Conference on Robot Learning, 2023

Fine-Tuning Generative Models as an Inference Method for Robotic Tasks.

Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar

Proceedings of the Conference on Robot Learning, 2023

2020

Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning.

Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization.

Tom Jurgenson, Edward Groshev, Aviv Tamar

CoRR, 2019

Harnessing Reinforcement Learning for Neural Motion Planning.

Tom Jurgenson, Aviv Tamar

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Learning Decision Trees with Stochastic Linear Classifiers.

Tom Jurgenson, Yishay Mansour

Proceedings of the Algorithmic Learning Theory, 2018

2017

Learning Decision Trees with Stochastic Linear Classifiers

Tom Jurgenson

PhD thesis, 2017