Tom Jurgenson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Motion Planning

Generative Model

Top Venues

Publications

Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning. CoRR (2024)
Tom Jurgenson, Matan Sudry, Gal Avineri, Aviv Tamar
RoboArm-NMP: a Learning Environment for Neural Motion Planning. CoRR (2024)
Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning. ICLR (2024)
Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks. CoRR (2023)
Tom Jurgenson, Aviv Tamar
Goal-Conditioned Supervised Learning with Sub-Goal Prediction. CoRR (2023)
Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model. CoRL (2023)
Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks. CoRL (2023)
Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning. ICML (2020)
Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar
Sub-Goal Trees - a Framework for Goal-Based Reinforcement Learning. CoRR (2020)
Tom Jurgenson, Edward Groshev, Aviv Tamar
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization. CoRR (2019)
Tom Jurgenson, Aviv Tamar
Harnessing Reinforcement Learning for Neural Motion Planning. CoRR (2019)
Tom Jurgenson, Aviv Tamar
Harnessing Reinforcement Learning for Neural Motion Planning. Robotics: Science and Systems (2019)
Tom Jurgenson, Yishay Mansour
Learning Decision Trees with Stochastic Linear Classifiers. ALT (2018)