Tom Jurgenson
7 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Reinforcement Learning
(4)
Methods
(4)
Deep Learning
(3)
Robotics
(3)
Capabilities
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Applications
(2)
Core AI
(2)
Models
(2)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
motion planning
(2)
reinforcement learning
(1)
sample efficiency
(1)
bayesian inference
(1)
policy gradient
(1)
hierarchical planning
(1)
self-supervised learning
(1)
supervised learning
(1)
deep learning
(1)
dynamic programming
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
robot control
(1)
efficient exploration
(1)
generative model
(1)
linear classifier
(1)
autoregressive model
(1)
variational autoencoder
(1)
decision tree
(1)
meta-reinforcement learning
(1)
Papers
Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees
CoRL 2025
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
ICLR 2024
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks
CoRL 2023
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model
CoRL 2023
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
ICML 2020
Harnessing Reinforcement Learning for Neural Motion Planning
RSS 2019
Learning Decision Trees with Stochastic Linear Classifiers
ALT 2018