Tom Jurgenson

According to our database1, Tom Jurgenson authored at least 10 papers between 2017 and 2024.

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Bibliography

2024
RoboArm-NMP: a Learning Environment for Neural Motion Planning.
CoRR, 2024

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Goal-Conditioned Supervised Learning with Sub-Goal Prediction.
CoRR, 2023

Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model.
Proceedings of the Conference on Robot Learning, 2023

Fine-Tuning Generative Models as an Inference Method for Robotic Tasks.
Proceedings of the Conference on Robot Learning, 2023

2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Sub-Goal Trees - a Framework for Goal-Directed Trajectory Prediction and Optimization.
CoRR, 2019

Harnessing Reinforcement Learning for Neural Motion Planning.
Proceedings of the Robotics: Science and Systems XV, 2019

2018
Learning Decision Trees with Stochastic Linear Classifiers.
Proceedings of the Algorithmic Learning Theory, 2018

2017
Learning Decision Trees with Stochastic Linear Classifiers
PhD thesis, 2017


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