Thomas B Schön
6 papers · 2013–2024 · 1 venue · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Half 🧬 Topic Evolution
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Trend Setter
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Reinforcement Learning
(2)
Methods
(2)
Optimization
(2)
Data Science & Analytics
(1)
Robotics
(1)
Applications
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
gaussian process
(2)
convex optimization
(2)
linear dynamical system
(2)
particle markov chain monte carlo
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
dynamical system
(2)
optimal control
(2)
model-based reinforcement learning
(1)
sequential monte carlo
(1)
probabilistic inference
(1)
constraint satisfaction
(1)
offline reinforcement learning
(1)
particle filter
(1)
linear quadratic
(1)
reproducing kernel hilbert space
(1)
partition function estimation
(1)
nonparametric inference
(1)
particle mcmc
(1)
bayesian regression
(1)
Papers
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
NeurIPS 2024
Robust exploration in linear quadratic reinforcement learning
NeurIPS 2019
Learning convex bounds for linear quadratic control policy synthesis
NeurIPS 2018
Linearly constrained Gaussian processes
NeurIPS 2017
Sequential Monte Carlo for Graphical Models
NeurIPS 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
NeurIPS 2013