Jurgenson, Tom

6 publications

CoRL 2025 Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees Yaniv Hassidof, Tom Jurgenson, Kiril Solovey

ICLR 2024 MAMBA: An Effective World Model Approach for Meta-Reinforcement Learning Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar

CoRL 2023 Fine-Tuning Generative Models as an Inference Method for Robotic Tasks Orr Krupnik, Elisei Shafer, Tom Jurgenson, Aviv Tamar

CoRL 2023 Hierarchical Planning for Rope Manipulation Using Knot Theory and a Learned Inverse Model Matan Sudry, Tom Jurgenson, Aviv Tamar, Erez Karpas

ICML 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning Tom Jurgenson, Or Avner, Edward Groshev, Aviv Tamar

ALT 2018 Learning Decision Trees with Stochastic Linear Classifiers Tom Jurgenson, Yishay Mansour